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

  title={What's with the Attitude? Identifying Sentences with Attitude in Online Discussions},
  author={Ahmed Hassan Awadallah and Vahed Qazvinian and Dragomir R. Radev},
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… CONTINUE READING
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