Paper: What’s with the Attitude? Identifying Sentences with Attitude in Online Discussions

ACL ID D10-1121
Title What’s with the Attitude? Identifying Sentences with Attitude in Online Discussions
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2010
Authors

Mining sentiment from user generated content is a very important task in Natural Language Processing. An example of such content is threaded discussions which act as a very im- portant tool for communication and collabo- ration in the Web. Threaded discussions in- clude e-mails, e-mail lists, bulletin boards, newsgroups, and Internet forums. Most of the work on sentiment analysis has been centered around finding the sentiment toward products or topics. In this work, we present a method to identify the attitude of participants in an online discussion toward one another. This would enable us to build a signed network representation of participant interaction where every edge has a sign that indicates whether the interaction is positive or negative. This is different from most of the research...