Diversifying User Comments on News Articles

  title={Diversifying User Comments on News Articles},
  author={Giorgos Giannopoulos and Ingmar Weber and Alejandro Jaimes and Timos K. Sellis},
In this paper we present an approach for diversifying user comments on news articles. In our proposed framework, we analyse user comments w.r.t. four different criteria in order to extract the respective diversification dimensions in the form of feature vectors. These criteria involve content similarity, sentiment expressed within comments, article’s named entities also found within comments and commenting behavior of the respective users. Then, we apply diversification on comments, utilizing… CONTINUE READING
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