Political tendency identification in twitter using sentiment analysis techniques

Abstract

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 knowledge, 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.