Sentiment classification: The contribution of ensemble learning

Sentiment classification: The contribution of ensemble learning

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Article ID: iaor20141870
Volume: 57
Start Page Number: 77
End Page Number: 93
Publication Date: Jan 2014
Journal: Decision Support Systems
Authors: , , , ,
Keywords: learning, knowledge management
Abstract:

  • Analyzing and predicting the polarity of the sentiment plays an important role.
  • Three popular ensemble methods for sentiment classification are assessed.
  • Ten public sentiment analysis datasets are investigated to verify the results.
  • Experimental results reveal that ensemble learning can be used as a viable method.
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