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Text Frequency Analysis/Evidence
Method evidence record

Text Frequency Analysis

Text frequency analysis is a descriptive text-mining method that counts how often words, n-grams, and phrases occur in a corpus to reveal content patterns and dominant themes. It rests on the frequency-distribution insight formalised by George K. Zipf (1949), that a few terms occur very often while most are rare, and it is one of the most basic and widely used entry points into quantitative text analysis.

Sources recorded, not reviewed

Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Text Frequency Analysis (Word and N-gram Frequency Analysis)
Taxonomic method record · process-pipeline / text-mining
  • Zipf, G. K. (1949). Human Behavior and the Principle of Least Effort. Addison-Wesley. · URL
  • Manning, C. D. & Schütze, H. (1999). Foundations of Statistical Natural Language Processing. MIT Press. · ISBN 9780262133609
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyLexical Diversitymachine-suggested · Relational suggestion, not evidence.Same method familySentiment Analysismachine-suggested · Relational suggestion, not evidence.Same method familyTF-IDFmachine-suggested · Relational suggestion, not evidence.See alsoTopic Modelingmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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