An Exploration into the Use of Contextual Document Clustering for Cluster Sentiment Analysis

نویسندگان

  • Niall Rooney
  • Hui Wang
  • Fiona Browne
  • Fergal Monaghan
  • Jann Müller
  • Alan Sergeant
  • Zhiwei Lin
  • Philip S. Taylor
  • Vladimir Dobrynin
چکیده

In this paper we consider whether the thematic document clustering approach of Contextual Document Clustering is able to capture the overall sentiment of a cluster of documents. We provide a novel mechanism to determine the sentiment of a cluster based on the latter approach and assess the approach on three data sets formed from the NY Times annotated corpus. We demonstrate that CDC does provide a strong tendency to capture the sentiment of a cluster.

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تاریخ انتشار 2011