Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis

@article{Ofek2015UnsupervisedCK,
  title={Unsupervised Commonsense Knowledge Enrichment for Domain-Specific Sentiment Analysis},
  author={Nir Ofek and Soujanya Poria and Lior Rokach and Erik Cambria and Amir Hussain and Asaf Shabtai},
  journal={Cognitive Computation},
  year={2015},
  volume={8},
  pages={467-477}
}
Sentiment analysis in natural language text is a challenging task involving a deep understanding of both syntax and semantics. Leveraging the polarity of multiword expressions—or concepts—rather than single words can mitigate the difficulty of such a task as these expressions carry more contextual information than isolated words. Such contextual information is the key to understanding both the syntactic and semantic structure of natural language text and hence is useful in tasks such as… CONTINUE READING
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