INSRT {INterpreted Sentiment in Real Time

نویسندگان

  • Michael Haas
  • Tilman
چکیده

The INSRT project short for INterpreted Sentiment in Real Time performs sentiment polarity classi cation on German tweets in real time. Classi cation of sentiment polarity in social media has become an important tool for reputation monitoring and trend analysis. For INSRT, we monitor the list of currently trending topics provided by the Twitter microblogging service and classify the tweets concerning these topics into positive, negative or neutral sentiment polarity. An user-friendly web interface is provided to show monitoring results; that is, a list of trending topics, associated tweets and sentiment classi cation results.

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تاریخ انتشار 2013