Sentiment Classification Task

A Sentiment Classification Task is a sentiment analysis task that is a linguistic classification task that classifies a linguistic item into a sentiment label.

• Context:
  • It can range from being a Text Sentiment Classification Task (document sentiment classification or sentence sentiment classification) to being Aspect-Based Sentiment Classification.
  • It can support a Sentiment Recognition Task.
  • ...
• Example(s):
  • Text-Item Sentiment Classification, such as:
    • [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.”) ⇒ No Polarity.
    • ...
  • …
• Counter-Example(s):
  • It can be a Semantic Relation Mention Classification Task.
  • a Language Classification Task.
• See: Opinion Mining Task.

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