Explain Sentiments using Conditional Random Field and a Huge Lexical Network

نویسندگان

  • Mike Donald Tapi-Nzali
  • Sandra Bringay
  • Pierre Pompidor
  • Joël Maïzi
  • Christian Lavergne
  • Caroline Mollevi
چکیده

In this paper, we focus on a particular task which consists in explaining the source and the target of sentiments expressed in social networks. We propose a method for French, which overcomes a fine syntactic parsing and successfully integrate the Conditional Random Field (CRF) method and a smart exploration of a very large lexical network. Quantitative and qualitative experiments were performed on real dataset to validate this approach.

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تاریخ انتشار 2015