Paper: Political Tendency Identification in Twitter using Sentiment Analysis Techniques

ACL ID C14-1019
Title Political Tendency Identification in Twitter using Sentiment Analysis Techniques
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

This paper describes an approach for political tendency identification of Twitter users. We define some metrics that take into account the polarity of the political entities in the tweets of each user. To obtain this polarities we present the sentiment analysis system developed. The evaluation was performed on the general corpus developed at TASS2013 workshop for Spanish. To our knowl- edge, the results obtained for the sentiment analysis task and the political tendency identification task are the best results published until now using this data set.