Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation | Paper Citation Record

Observation b2a29628-a81d-449e-bb19-955b6d632829 · outbound

This paper cites Epidemiology of suicide and the psychiatric perspective,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Epidemiology of suicide and the psychiatric perspective,

Reference 1

Resolution: verified exact; doi, observed 2026-08-10T20:09:25.578222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0b16e051-dfea-40c5-90a9-d55fa7515cdf · outbound

This paper cites Death Rates Due to Suicide and Homicide Among Persons Aged 10 -24: Unite d States, 2000 -2017 Key findings Data from the National Vital Statistics System.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Death Rates Due to Suicide and Homicide Among Persons Aged 10 -24: Unite d States, 2000 -2017 Key findings Data from the National Vital Statistics System

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.108280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2285f1d-aaae-4ef0-8a6b-8b5313da08c4 · outbound

This paper cites Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps,

Reference 3

Resolution: verified exact; doi, observed 2026-08-10T20:09:25.546468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 837ad97a-7b20-41bd-9edf-26308b59052d · outbound

This paper cites Machine learning in suicide science: Applic ations and ethics,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Machine learning in suicide science: Applic ations and ethics,

Reference 4

Resolution: verified exact; doi, observed 2026-08-10T20:09:25.504051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a05b9210-55fe-4f16-bf4d-50d1033d5f85 · outbound

This paper cites Leveraging Digital Health and Machine Learning Toward Reducing Suicide - From Panacea to Practical Tool,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Leveraging Digital Health and Machine Learning Toward Reducing Suicide - From Panacea to Practical Tool,

Reference 5

Resolution: verified exact; raw_fallback, observed 2026-08-10T20:09:29.077011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dd2b827c-31d9-4476-97c2-efc95140b9da · outbound

This paper cites Finding the traces of behavioral and cognitive processes in big data and naturally occurring datasets,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Finding the traces of behavioral and cognitive processes in big data and naturally occurring datasets,

Reference 6

Resolution: verified exact; doi, observed 2026-08-10T20:09:25.460521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cbc1972c-3296-4c71-a87c-bafd25696f25 · outbound

This paper cites Detection of suicide ideation in social media forums using deep learning,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Detection of suicide ideation in social media forums using deep learning,

Reference 7

Resolution: verified exact; doi, observed 2026-08-10T20:09:25.419597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ed0d5e97-ba88-4ce8-bab1-9081fcda48e8 · outbound

This paper cites Exploring and learning suicidal ideation connotations on social media with deep learning,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Exploring and learning suicidal ideation connotations on social media with deep learning,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.166773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39179a79-ee66-4f1a-9229-bf8dace576fa · outbound

This paper cites Deep sentiment representation based on CNN and LSTM,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Deep sentiment representation based on CNN and LSTM,

Reference 9

Resolution: verified exact; doi, observed 2026-08-10T20:09:25.383734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b4b11d99-139d-4b6a-ad8d-ccd34979d2fa · outbound

This paper cites Exploring Interpretable LSTM Neural Networks over Multi-Variable Data.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Exploring Interpretable LSTM Neural Networks over Multi-Variable Data

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:09:28.935300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d2aa2853-8e8b-4f1d-b0e9-62bd47f510d0 · outbound

This paper cites A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis,

Reference 11

Resolution: verified exact; doi, observed 2026-08-10T20:09:25.342900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7783b1a6-5d96-4986-8517-9843777d75c2 · outbound

This paper cites How Should Public Administrations F oster the Ethical Development and Use of Artificial Intelligence? A Review of Proposals for Developing Governance of AI,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation How Should Public Administrations F oster the Ethical Development and Use of Artificial Intelligence? A Review of Proposals for Developing Governance of AI,

Reference 12

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T20:09:28.891890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 50308f24-10bc-4324-82ed-c674e82b7c76 · outbound

This paper cites Data saves lives,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Data saves lives,

Reference 13

Resolution: verified exact; doi, observed 2026-08-10T20:09:25.309437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 521deb32-e3cc-4727-a76c-86efb674bddb · outbound

This paper cites An Unsupervised Learning Approach for Automatically to Categorize Potential Suicide Messages in Social Media,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation An Unsupervised Learning Approach for Automatically to Categorize Potential Suicide Messages in Social Media,

Reference 14

Resolution: verified exact; raw_fallback, observed 2026-08-10T20:09:28.804149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 19ec1474-6fab-4aae-a65d-24f64d4a1f6d · outbound

This paper cites Depression and Suicide Analysis Using Machine Learning and NLP,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Depression and Suicide Analysis Using Machine Learning and NLP,

Reference 15

Resolution: malformed identifier; no resolver link, observed 2026-08-10T20:09:23.239717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8c2a727-765f-445c-8901-b09a117e02cc · outbound

This paper cites Detection of suicidal ideation on Twitter using machine learning & ensemble approaches,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Detection of suicidal ideation on Twitter using machine learning & ensemble approaches,

Reference 16

Resolution: verified exact; doi, observed 2026-08-10T20:09:25.257324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 66a71d5b-9fff-430b-9b96-5da4feb501b5 · outbound

This paper cites Detection of suicide attempters among suicide ideators using machine learning,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Detection of suicide attempters among suicide ideators using machine learning,

Reference 17

Resolution: verified exact; doi, observed 2026-08-10T20:09:25.230309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 13f1f5b2-6b02-48fa-a85d-b763bcab80bf · outbound

This paper cites Learning Models for Suicide Prediction from Social Media Posts.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Learning Models for Suicide Prediction from Social Media Posts

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:09:28.708331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ef176581-dc60-4b1c-b738-3406542392ce · outbound

This paper cites Using machine learning algori thms to detect suicide risk factors on twitter,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Using machine learning algori thms to detect suicide risk factors on twitter,

Reference 19

Resolution: verified exact; raw_fallback, observed 2026-08-10T20:09:28.674431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 13bf1d39-d453-4eec-8787-cc7373accf1e · outbound

This paper cites Automatic identification of suicide notes with a transformer-based deep learning model,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Automatic identification of suicide notes with a transformer-based deep learning model,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.294304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02ac7121-6999-497e-95b4-ef8768056f27 · outbound

This paper cites Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Deep Learning for Suicide and Depression Identification with Unsupervised Label Correction

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.300379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a3649da-12f8-4011-8fd0-41027540ed90 · outbound

This paper cites Deep neural networks detect suicide risk from textual facebook posts,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Deep neural networks detect suicide risk from textual facebook posts,

Reference 23

Resolution: verified exact; doi, observed 2026-08-10T20:09:25.207611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3476397d-a32f-46a5-9de2-1dfc75ac33ea · outbound

This paper cites Multi -Task, Multi -Channel, Multi -Input Learning for Mental Illness Detection using Social Media Text,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Multi -Task, Multi -Channel, Multi -Input Learning for Mental Illness Detection using Social Media Text,

Reference 24

Resolution: verified exact; doi, observed 2026-08-10T20:09:25.181465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ce275fd4-ca8f-4f11-b881-90419589e14b · outbound

This paper cites Boamente: A Natural Language Processing -Based Digital Phenotyping Tool for Smart Monitoring of Suicidal Ideation,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Boamente: A Natural Language Processing -Based Digital Phenotyping Tool for Smart Monitoring of Suicidal Ideation,

Reference 25

Resolution: verified exact; doi, observed 2026-08-10T20:09:25.146797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4b063df3-8302-40b4-a200-5dbd2a318eb4 · outbound

This paper cites Detecting and Analyzing Suicidal Ideation on Social Media Using Deep Learning and Machine Learning Models,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Detecting and Analyzing Suicidal Ideation on Social Media Using Deep Learning and Machine Learning Models,

Reference 26

Resolution: verified exact; doi, observed 2026-08-10T20:09:25.113534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 50529396-ad30-40f4-a87f-a877ff5529ea · outbound

This paper cites An ensemble deep learning technique for detecting suicidal ideation from posts in social media platforms,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation An ensemble deep learning technique for detecting suicidal ideation from posts in social media platforms,

Reference 27

Resolution: verified exact; doi, observed 2026-08-10T20:09:25.068485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6df3c40d-0a77-4390-b4b9-9a3d7b62500a · outbound

This paper cites Mental Disorder Detection via Social Media Mining using Deep Learning,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Mental Disorder Detection via Social Media Mining using Deep Learning,

Reference 28

Resolution: verified exact; doi, observed 2026-08-10T20:09:25.034299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c00ed1d-092c-410a-9694-8934ac76bdd4 · outbound

This paper cites Building and Using Personal Knowledge Graph to Improve Suicidal Idea tion Detection on Social Media,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Building and Using Personal Knowledge Graph to Improve Suicidal Idea tion Detection on Social Media,

Reference 29

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T20:09:28.361727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 340e6a36-a55f-473b-8f14-b06baf6682c3 · outbound

This paper cites A lexicon-based approach to detecting suicide -related messages on Twitter,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A lexicon-based approach to detecting suicide -related messages on Twitter,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.370880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9aaa844-ca44-4202-8dd7-eea758d72ccb · outbound

This paper cites A machine learning approach predicts future risk to suicidal ideation from social me dia data,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A machine learning approach predicts future risk to suicidal ideation from social me dia data,

Reference 31

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.988712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 55733b32-0085-498e-ac28-b881ec707863 · outbound

This paper cites A machine learning based depression analysis and suicidal ideation detection system using questionnaires and twitter,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A machine learning based depression analysis and suicidal ideation detection system using questionnaires and twitter,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.389673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36f1c75f-23bb-4a1b-99f0-8fc08640bc0a · outbound

This paper cites Detection of suicidality among opioid users on reddit: Machine learning-based approach,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Detection of suicidality among opioid users on reddit: Machine learning-based approach,

Reference 33

Resolution: malformed identifier; doi_truncated, observed 2026-08-10T20:09:24.955851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 13aebaf1-958f-4b0a-b1a0-c90fca2a3c99 · outbound

This paper cites Digital conversations about suicide among teenagers and adults with epilepsy: A big -data, machine learning analysis,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Digital conversations about suicide among teenagers and adults with epilepsy: A big -data, machine learning analysis,

Reference 34

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.922130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9eed13ca-4098-4cfb-954c-079eb25990ec · outbound

This paper cites Exploring temporal suicidal behavior patterns on social media: Insight from Twitter analytics,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Exploring temporal suicidal behavior patterns on social media: Insight from Twitter analytics,

Reference 35

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.893906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2a26423d-d59b-481d-8862-af30a26066b6 · outbound

This paper cites Machine Learning Based Suicide Ideation Prediction for Military Personnel,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Machine Learning Based Suicide Ideation Prediction for Military Personnel,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.429228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adc0b86e-1c94-4ada-8bf2-46f04e360d10 · outbound

This paper cites Proactive suicide prevention online (PSPO): Machine identification and crisis management for Chinese social media users with suicidal thoughts and behaviors,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Proactive suicide prevention online (PSPO): Machine identification and crisis management for Chinese social media users with suicidal thoughts and behaviors,

Reference 37

Resolution: malformed identifier; doi_truncated, observed 2026-08-10T20:09:24.858967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 42f47361-6f12-40dc-aaa2-df796054eb30 · outbound

This paper cites Screening for suicidal ideation with text messages,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Screening for suicidal ideation with text messages,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.453472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b364417c-bc3d-4d86-90dd-984739d6e877 · outbound

This paper cites Suicidal ideation prediction in twitter data using machine learning techniques,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Suicidal ideation prediction in twitter data using machine learning techniques,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.460634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e4aed66-937b-4e99-8146-f5c813d89cd1 · outbound

This paper cites Suicidal Profiles Detection in Twitter,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Suicidal Profiles Detection in Twitter,

Reference 40

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.825431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ce0bbced-611a-4337-ba81-e7f5acdbd5a7 · outbound

This paper cites Identifying PTSD Symptoms Using Machine Learning Techniques on Social Media,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Identifying PTSD Symptoms Using Machine Learning Techniques on Social Media,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.479239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b46ae9d8-7ce2-440e-a6d7-22aa944808a5 · outbound

This paper cites Social Media for Mental Health: Data, Methods, and Findings,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Social Media for Mental Health: Data, Methods, and Findings,

Reference 42

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.798883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 053f09e5-47a4-41ba-91dd-23eed4f8c4b9 · outbound

This paper cites A Study on Mental Health Discussion through Reddit,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A Study on Mental Health Discussion through Reddit,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.495812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fd9cfc3-43ff-4739-9f6a-1ec3406a6d8a · outbound

This paper cites A study of reddit-user’s response to rape,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A study of reddit-user’s response to rape,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.502818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59924d77-5d51-4da8-af41-97856857bb6a · outbound

This paper cites A Transformer Based Approach to Detect Suicidal Ideation Using Pre - Trained Language Models,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A Transformer Based Approach to Detect Suicidal Ideation Using Pre - Trained Language Models,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.511410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 476003d2-95d1-4904-b926-605c862f80e0 · outbound

This paper cites Word Affect Intensities.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Word Affect Intensities

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.522056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 384869b7-995b-45d3-b951-600fbfc718fe · outbound

This paper cites Emotion Intensities in Tweets.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Emotion Intensities in Tweets

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:09:27.436935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 39d16be0-e178-4301-843a-bf6bc9a7a81f · outbound

This paper cites The Heart and Soul of the Web ? Sentiment Strength Detection in the Social Web with SentiStrength,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation The Heart and Soul of the Web ? Sentiment Strength Detection in the Social Web with SentiStrength,

Reference 48

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.770351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6c82fa35-b9c7-4085-b333-5a43ae983755 · outbound

This paper cites SentiStrength -SE: Exploiting domain specificity for improved sentiment analysis in software engineerin g text,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation SentiStrength -SE: Exploiting domain specificity for improved sentiment analysis in software engineerin g text,

Reference 49

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.744956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c323c513-5283-4309-83aa-133bcf5f497f · outbound

This paper cites Spatialities, Social Media and Sentiment Analysis: Exploring the Potential of the Detection Tool Se ntiStrength,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Spatialities, Social Media and Sentiment Analysis: Exploring the Potential of the Detection Tool Se ntiStrength,

Reference 50

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.715210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3056a83a-6e26-4884-9336-22e1199b22cc · outbound

This paper cites A comprehensive survey on support vector machine classification: Applications, challenges and trends,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A comprehensive survey on support vector machine classification: Applications, challenges and trends,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.572187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72c5b568-e5ae-4bb5-a105-fbdc8e688a19 · outbound

This paper cites Problem formulations and solvers in linear SVM: a review,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Problem formulations and solvers in linear SVM: a review,

Reference 52

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.668374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 34857934-2700-4f9d-af37-9742e3e0159f · outbound

This paper cites Introduction to Support Vector Machines,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Introduction to Support Vector Machines,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.586545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd1b0b25-39aa-4c47-9f3e-98cfc5ce28dc · outbound

This paper cites Decision tree methods: applications for classification and prediction,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Decision tree methods: applications for classification and prediction,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.592986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf3977f2-fcfc-48f1-bab5-6be9cc6b6c16 · outbound

This paper cites A Brief Survey on Random Forest Ensembles in Classification Model,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A Brief Survey on Random Forest Ensembles in Classification Model,

Reference 55

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.644071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 950f6a24-4775-481c-9c29-3545f8dac79f · outbound

This paper cites Optimization of Classification Rules and Voting Strategies for Random Forest,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Optimization of Classification Rules and Voting Strategies for Random Forest,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.614788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de97682f-eb26-496b-8e2a-47f74f7f97e1 · outbound

This paper cites A Review of Splitting Criteria for Decision Tree Induction,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A Review of Splitting Criteria for Decision Tree Induction,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.621629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92141541-ea3a-4aa7-86da-a41d059c4ad8 · outbound

This paper cites Statistics review 14: Logistic regression,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Statistics review 14: Logistic regression,

Reference 58

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.612474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0bb4dddf-1b8a-4363-9cab-49be48e00c24 · outbound

This paper cites Log Odds and the Interpretation of Logit Models,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Log Odds and the Interpretation of Logit Models,

Reference 59

Resolution: verified exact; raw_fallback, observed 2026-08-10T20:09:27.295437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2c127f7e-b1ff-4c84-98e0-da9d5926c951 · outbound

This paper cites A Brief Review of Nearest Neighbor Algorithm for Learning and Classification,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A Brief Review of Nearest Neighbor Algorithm for Learning and Classification,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.646306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0fd9810-2b0c-41bf-878a-efab5ff8af27 · outbound

This paper cites An Empirical Study of Distance Metrics for k -Nearest Neighbor Algorithm,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation An Empirical Study of Distance Metrics for k -Nearest Neighbor Algorithm,

Reference 61

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.585154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b8075ad3-28ff-4fee-b695-fae1eab18dd4 · outbound

This paper cites The euclidean distance degree,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation The euclidean distance degree,

Reference 62

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T20:09:27.006276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 63e5f7b5-f08c-4d33-9314-5908f0a31841 · outbound

This paper cites Naive (Bayes) at forty: The independence assumption in information retrieval,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Naive (Bayes) at forty: The independence assumption in information retrieval,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.666643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b586df97-9a43-4e74-8ead-19dcc7659d3f · outbound

This paper cites The Application of Bayesian Theorem,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation The Application of Bayesian Theorem,

Reference 64

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.542189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7eb22e96-3086-4837-8dc2-a563b3a4cc68 · outbound

This paper cites Modified k-Means Clustering Algorithm,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Modified k-Means Clustering Algorithm,

Reference 65

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.506103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c8dd57b0-9b3d-4e54-8800-b8563b4c999d · outbound

This paper cites Latent Dirichlet Allocation with topic-in- set knowledge,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Latent Dirichlet Allocation with topic-in- set knowledge,

Reference 66

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T20:09:26.857091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 40338655-46ff-47e2-b156-3deede3f3246 · outbound

This paper cites Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research,

Reference 67

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.477664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 57b9d165-3fed-4816-aabc-09fedbcf2c42 · outbound

This paper cites Artificial Neural Networks,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Artificial Neural Networks,

Reference 68

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.429931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9b54469c-37c4-4c29-87d2-febca85d4014 · outbound

This paper cites Do Convolutional Neural Networks Learn Class Hierarchy?,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Do Convolutional Neural Networks Learn Class Hierarchy?,

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.711899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aefd668-407e-452a-a521-db61f124f137 · outbound

This paper cites Effective Use of Word Order for Text Categorization with Convolutional Neural Networks,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Effective Use of Word Order for Text Categorization with Convolutional Neural Networks,

Reference 70

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.395669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d125135a-2ee9-4b42-a33a-9406d5b970d5 · outbound

This paper cites Sequential Learning of Convolutional Features for Effective Text Classification,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Sequential Learning of Convolutional Features for Effective Text Classification,

Reference 71

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.361251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5f1ebec3-bef7-412e-a453-a6be1728ee6c · outbound

This paper cites Understanding of a convolutional neura l network,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Understanding of a convolutional neura l network,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.736333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe905056-65f6-4321-9ac5-950bd1b2b4ad · outbound

This paper cites A Critical Review of Recurrent Neural Networks for Sequence Learning,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A Critical Review of Recurrent Neural Networks for Sequence Learning,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:09:29.171961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ff2a9611-f797-4dae-bf1f-9ed4de2924be · outbound

This paper cites Understanding Hidden Memories of Recurrent Neural Networks,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Understanding Hidden Memories of Recurrent Neural Networks,

Reference 74

Resolution: metadata mismatch; raw_fallback, observed 2026-08-10T20:09:26.475592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cce06188-a70d-4b59-8f7d-b1e263fb27e1 · outbound

This paper cites Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.754736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ae34bc1-9ddc-45ea-9833-dcc5853a25ce · outbound

This paper cites The Performance of LSTM and BiLSTM in Forecasting Time Series,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation The Performance of LSTM and BiLSTM in Forecasting Time Series,

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.761969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91d24dc8-da31-471e-8647-a52c11f6a870 · outbound

This paper cites Simplified Self -Attention for Transformer-Based end -to-end Speech Recognition,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Simplified Self -Attention for Transformer-Based end -to-end Speech Recognition,

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.769750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd4e44ce-24bd-41a4-8842-1b698fa45918 · outbound

This paper cites Overview of the Transformer-based Models for NLP Tasks,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Overview of the Transformer-based Models for NLP Tasks,

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.778226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a85498d-e412-4c89-aee3-9817516f61c1 · outbound

This paper cites BOWL: Bag of Word Clusters Text Representation Using Wor d Embeddings,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation BOWL: Bag of Word Clusters Text Representation Using Wor d Embeddings,

Reference 79

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.309298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 00324ab5-c6e5-4728-aaac-407b894b5ba6 · outbound

This paper cites Text Segmentation,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Text Segmentation,

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.795698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4829d8b-26a4-4eed-ac54-d5400e0420f1 · outbound

This paper cites A Comparative Study of Stemming Algorithms,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A Comparative Study of Stemming Algorithms,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:09:29.147635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f22b762c-2c34-4b7b-99d0-ad7eb05ea614 · outbound

This paper cites Text Mining: Use of TF -IDF to Examine the Relevance of Words to Documents,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Text Mining: Use of TF -IDF to Examine the Relevance of Words to Documents,

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.825656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3dcffe7-c0d9-4fd9-a604-5738186e8688 · outbound

This paper cites n-Gram Statistics for Natural Language Understanding and Text Processing,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation n-Gram Statistics for Natural Language Understanding and Text Processing,

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.838554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 652767b1-809e-4084-888a-c693736132e8 · outbound

This paper cites The Distribution of N-Grams,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation The Distribution of N-Grams,

Reference 84

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.247242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5f4e4b24-1b69-42c8-95c3-892dd76abd6a · outbound

This paper cites Bias in word embeddings,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Bias in word embeddings,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-10T20:09:23.854884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad209993-896a-4116-876b-0c1ce6c8713f · outbound

This paper cites Text Normalization,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Text Normalization,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:09:29.104508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 55c93831-ab4a-4fa7-994c-58b85204048c · outbound

This paper cites Highly Language - Independent Word Lemmatization Using a Machine -Learning Classifier,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation Highly Language - Independent Word Lemmatization Using a Machine -Learning Classifier,

Reference 87

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.217193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e0367f43-fad4-4de0-8d01-383ac2775780 · outbound

This paper cites A comparative study of several classification metrics and their performances on data,.

Understanding Mental Health Content on Social Media and Its Effect Towards Suicidal Ideation A comparative study of several classification metrics and their performances on data,

Reference 88

Resolution: verified exact; doi, observed 2026-08-10T20:09:24.183467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers