Process / pipeline

Subjectivity Detection — Objective vs. Subjective Text

Subjectivity detection is a natural-language-processing task that classifies whether a sentence or document conveys objective (neutral information) or subjective (personal opinion, emotion) content. Grounded in the opinion-annotation work of Wiebe and colleagues (2005) and Pang and Lee (2004), it is most often used as a preliminary step before sentiment analysis.

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Sources

  1. Wiebe, J., Wilson, T. & Cardie, C. (2005). Annotating Expressions of Opinions and Emotions in Language. Language Resources and Evaluation, 39(2-3), 165-210. DOI: 10.1007/s10579-005-7880-9
  2. Pang, B. & Lee, L. (2004). A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts. Proceedings of ACL. link

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Referenced by

ScholarGateSubjectivity Detection (Subjectivity Detection (Subjective vs. Objective Classification)). Retrieved 2026-06-04 from https://scholargate.app/en/text-mining/subjectivity-detection