Text Analysis
TextAnalysis.jl is a Julia package for text and language data, with tools such as corpora, TF-IDF, and topic models.
About Text Analysis
TextAnalysis.jl is a Julia package for working with text and natural language data. It provides Document and Corpus types, DocumentTermMatrix and TF-IDF, LSA and LDA, vocabulary and statistical language models, co-occurrence matrices, a Naive Bayes classifier, and ROUGE evaluation metrics, incorporating features from the Languages and WordTokenizers packages. Practical neural network-based models are not included and are provided by the separate TextModels package.
Key features
- Document and Corpus container types
- DocumentTermMatrix with TF-IDF weighting
- LSA and LDA topic models
- Vocabulary and statistical language models
- Co-occurrence matrix construction
- Naive Bayes classifier for text
Best for: Julia programmers working with textual data and natural language models.
Good for
- Integrates features from the Languages and WordTokenizers packages
- Installs with pkg> add TextAnalysis
Watch out for
- Neural network-based models require the separate TextModels package
Text Analysis at a glance
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
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Text Analysis FAQ
How is TextAnalysis.jl installed?
In Julia, use pkg> add TextAnalysis.
Where are neural network-based models available?
They are provided by the separate TextModels package, after code was moved out of TextAnalysis.jl to simplify installation and reduce dependencies.
Where can users ask for help or report issues?
Help is available on the Julia Discourse forum and in the #natural-language channel on Julia Slack, and issues can be raised in the GitHub repository.
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