A new corpus of 100,502 annotated movie reviews from Kazakhstan enables sentiment analysis research in Russian, Kazakh, and code-switched texts.
Opinion mining and sentiment analysis.Foundations and Trends in Information Retrieval, 2(1–2): 1–135
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
years
2026 4representative citing papers
Joint NMF and binomial regression learns response-relevant text signals with competitive performance on simulations and review data.
ACAT is a collaborative web tool for ABSA annotation supporting four workflows with an automated ETL pipeline that produces training-ready datasets and IAA scores.
BiLSTM achieves the highest weighted F1-score for three-class sentiment classification of Indonesian Spotify reviews while Decision Tree with SMOTE delivers more balanced performance across classes.
citing papers explorer
-
100,000+ Movie Reviews from Kazakhstan: Russian, Kazakh, and Code-Switched Texts
A new corpus of 100,502 annotated movie reviews from Kazakhstan enables sentiment analysis research in Russian, Kazakh, and code-switched texts.
-
Learning Interpretable Text Signals for Structured Responses
Joint NMF and binomial regression learns response-relevant text signals with competitive performance on simulations and review data.
-
ACAT: A Collaborative Platform for Efficient Aspect-Based Sentiment Dataset Annotation
ACAT is a collaborative web tool for ABSA annotation supporting four workflows with an automated ETL pipeline that produces training-ready datasets and IAA scores.
-
Sentiment Analysis of Indonesian Spotify Reviews Using Machine Learning and BiLSTM
BiLSTM achieves the highest weighted F1-score for three-class sentiment classification of Indonesian Spotify reviews while Decision Tree with SMOTE delivers more balanced performance across classes.