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EMNLP
2010

What's with the Attitude? Identifying Sentences with Attitude in Online Discussions

9 years 11 months ago
What's with the Attitude? Identifying Sentences with Attitude in Online Discussions
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 important tool for communication and collaboration in the Web. Threaded discussions include 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 on social networks that has focused almost exclusively on positive links. The method is experimentally tested using a manually labeled set of discussion posts. The results show that the proposed method is...
Ahmed Hassan, Vahed Qazvinian, Dragomir R. Radev
Added 11 Feb 2011
Updated 11 Feb 2011
Type Journal
Year 2010
Where EMNLP
Authors Ahmed Hassan, Vahed Qazvinian, Dragomir R. Radev
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