Sentence Sentiment Classification Task

A Sentence Sentiment Classification Task is a Sentiment Classification Task that is restricted to Sentences.

• Example(s):
  • [math]\displaystyle{ f }[/math]("The sound quality of the N95 is outstanding.”) ⇒ Positive Polarity.
  • [math]\displaystyle{ f }[/math]("The battery of the N95 is substandard.”) ⇒ Negative Polarity.
  • [math]\displaystyle{ f }[/math]("The sound quality of the N95 is outstanding and so is its camera, but its battery life is substandard.”) ⇒ Mixed Polarity.
  • [math]\displaystyle{ f }[/math]("The N95 weighs 5.4 ounces.”) ⇒ Neutral Polarity.
  • …
• Counter-Example(s):
  • a Document Sentiment Classification Task.
• See: Sentiment Analysis Task, Subjective Sentence, Factual Sentence.

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References

• (Hatzivassiloglou & Wiebe, 2000) ⇒ Vasileios Hatzivassiloglou, and Janyce M. Wiebe. (2000). “Effects of Adjective Orientation and Gradability on Sentence Subjectivity.” In: Proceedings of the 18th conference on Computational Linguistics (COLING 2000). doi:10.3115/990820.990864.
  • Subjectivity is a pragmatic, sentence-level feature that has important implications for text processing applications such as information extraction and information retrieval...

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