Sentiment Analysis on Multilingual Tweets using Big Data Technologies

In this paper a new parallel system for sentiment analysis on multilingual tweets based on Big Data technologies is presented. On the one hand, our sentiment classifier performs as well as other state-of-the-art classifiers considering tweets written in different languages. On the other hand, our system is capable of processing millions of tweets in short times taking advantage of Big Data processing and parallel architectures, showing a good scalability in all the considered scenarios.

keywords: Sentiment analysis, Big mance, Twitter, Hadoop