Wordnet and SUMO for Sentiment Analysis

نویسندگان

  • Adam Pease
  • John Li
  • Karen Nomorosa
چکیده

In this paper, we show how Princeton's WordNet and associated resources can be used as part of an integrated system for sentiment analysis, called SigmaSentiment. We discuss the development of a system for sentiment analysis and concept extraction. We first provide an introduction to the user experience to motivate our work. We begin technical discussion with some background on the Suggested Upper Merged Ontology and WordNet, as well as their relation and the associated research that makes this work possible. We describe system components and data flow in detail, and some detail about the deployment architecture in the fielded system.

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تاریخ انتشار 2011