Automatic Sentiment Analysis in Polish Language

Abstract

We introduce fully automated process for sentiment analysis in short texts in Polish language. Process consists of (a) generation of emotion lexicon using Twitter annotated messages (b) building sentiment data set using annotated messages and the generated lexicon, (c) training NEAT genetic algorithm using previously prepared data set and (d) the final evaluation using 10 fold cross validation. We show that this method provides good results and can be used to simplify sentiment analysis processes for Polish language content.