Process / pipeline

Sentiment Analysis — Opinion Mining

Sentiment analysis, also called opinion mining, is a natural-language-processing task that detects the emotional tone of text — typically classifying it as positive, negative, or neutral. It turns unstructured opinion text into structured, quantifiable polarity signals using one of three families of approaches: sentiment lexicons, trained machine-learning classifiers, or pretrained transformer models.

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Sources

  1. Pang, B. & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval, 2(1-2), 1-135. DOI: 10.1561/1500000011

Related methods

Referenced by

ScholarGateSentiment Analysis (Sentiment Analysis (Opinion Mining)). Retrieved 2026-06-04 from https://scholargate.app/tr/text-mining/sentiment-analysis