Paper: Target-dependent Twitter Sentiment Classification

ACL ID P11-1016
Title Target-dependent Twitter Sentiment Classification
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2011

Sentiment analysis on Twitter data has attract- ed much attention recently. In this paper, we focus on target-dependent Twitter sentiment classification; namely, given a query, we clas- sify the sentiments of the tweets as positive, negative or neutral according to whether they contain positive, negative or neutral senti- ments about that query. Here the query serves as the target of the sentiments. The state-of- the-art approaches for solving this problem always adopt the target-independent strategy, which may assign irrelevant sentiments to the given target. Moreover, the state-of-the-art approaches only take the tweet to be classified into consideration when classifying the senti- ment; they ignore its context (i.e., related tweets). However, because tweets are usually shor...