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.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- 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
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.