engleski

Predicting Croatian Phrase Sentiment Using a Deep Matrix-Vector Model

Many sentiment analysis tasks rely on the existence of a sentiment lexicon. Such lexicons, however, typically contain single words annotated with prior sentiment. Problems arise when trying to model the sentiment of multiword phrases such as “very good” or “not bad”. In this paper, we use a recently proposed deep neural network model to classify the sentiment of phrases in Croatian. The experimental results suggest that reasonable classification of phrase-level sentiment for Croatian is achievable with such a model, reaching a performance comparable to that of an analogous model for English.

Sentiment analysis; phrase-level sentiment; deep learning; Croatian language

nije evidentirano