Fine-grained sentiment analysis for movie reviews in Bulgarian
Borislav Kapukaranov, Preslav Nakov · 2015
We present a system for fine-grained senti-ment analysis in Bulgarian movie reviews. As this is pioneering work for this com-bination of language and sentiment gran-ularity, we create suitable, freely available resources: a dataset of movie reviews with fine-grained scores, and a sentiment po-larity lexicon. We further compare ex-perimentally the performance of classifi-cation, regression and ordinal regression in a 3-way, 5-way and 11-way classifi-cation setups, using as features not only the text from the reviews, but also con-textual information in the form of meta-data, e.g., movie length, director, actors, genre, country, and various scores: IMDB, Cinexio, and user-average. The results show that adding contextual information yields strong performance gains. 1