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arxiv 1802.05322 v1 pith:37USK235 submitted 2018-02-14 cs.CL

Classifying movie genres by analyzing text reviews

Adam Nyberg This is my paper
classification cs.CL
keywords movieusedclassifyingdatagenresmodelreviewstext
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This paper proposes a method for classifying movie genres by only looking at text reviews. The data used are from Large Movie Review Dataset v1.0 and IMDb. This paper compared a K-nearest neighbors (KNN) model and a multilayer perceptron (MLP) that uses tf-idf as input features. The paper also discusses different evaluation metrics used when doing multi-label classification. For the data used in this research, the KNN model performed the best with an accuracy of 55.4\% and a Hamming loss of 0.047.

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