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Text analysis: a corpus you can trace, counts anyone can redo

By e2er authors

A text study counts and models language in a corpus: which words are frequent, which are key in one part of the corpus against another, which words keep company, how often the words of a dictionary occur, which topics a topic model finds, and how all of this changes over time.

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Provenance

Project
e2er bundled skills
Maintained by
e2er authors
Licence
MIT
Source file
bhanneke/E2ER-project/blob/v0.16.1/skills/files/methods/text-analysis.md
Identifier
e2er/methods/text-analysis

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Persistent identifiers planned 
@software{e2erauthors2026textanalysisacorpusyouca,
  title   = {Text analysis: a corpus you can trace, counts anyone can redo},
  author  = {e2er authors},
  year    = {2026},
  note    = {e2er skill. Persistent identifier planned},
  url     = {https://github.com/bhanneke/E2ER-project/blob/v0.16.1/skills/files/methods/text-analysis.md}
}
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Used by

Hand check of dictionary hits

Description

Data model
Discipline
Economics
Method family
not specified
Design
not specified
Research stage
not specified
Authors
e2er authors (Software, Methodology)
Usage
loaded by 1 specialist
Source
e2er repository · skills/files · @d8fd8ab
Record
skill:e2er/methods/text-analysis · JSON

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methodsMIT

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More methods skills in e2er bundled skills

Descriptive analysis: describing a sample so others can trust the descriptionSystematic review and meta-analysis: protocol, search, screening, extraction, synthesisTime series and forecasting: a setup fixed in advance, an honest test

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