Sentiment analysis of innovations in russian media

Abstract

The paper presents the sentiment analysis based algorithm for evaluation of public's attitude to innovations. Domain-depended corpus for training algorithm was created. More than 200 000 articles from Russian mass media devoted to innovations were analyzed. Results of analysis represented as set of histogram. Conclusions and future work are given.