Browsing by Author "OAKES, Michael"

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  • Recognition of Sentiment Sequences in Online Discussions 
    BOBICEV, Victoria; SOKOLOVA, Marina; OAKES, Michael (Association for Computational Linguistics and Dublin City University, 2014)
    Currently 19%-28% of Internet users participate in online health discussions. In this work, we study sentiments expressed on online medical forums. As well as considering the predominant sentiments expressed in individual ...
  • Sentiment and Factual Transitions in Online Medical Forums 
    BOBICEV, Victoria; SOKOLOVA, Marina; OAKES, Michael (Springer Nature Switzerland, 2015)
    This work studies sentiment and factual transitions on an online medical forum where users correspond in English. We work with discussions dedicated to reproductive technologies, an emotionally-charged issue. In several ...
  • What Goes Around Comes Around: Learning Sentiments in Online Medical Forums 
    BOBICEV, Victoria; SOKOLOVA, Marina; OAKES, Michael (Springer Nature Switzerland, 2015)
    It has been shown that online health-related discussions significantly influence the attitudes and behavioral intentions of the discussion participants. Although empirical evidence strongly supports the importance of ...

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