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Quantitative Analysis of Textual Data • quanteda

 Generated on February 10 2026 17:55 PM

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The score is 54/100

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Quantitative Analysis of Textual Data • quanteda

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Property Content
title Quantitative Analysis of Textual Data
description A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and n-grams, exploring keywords in context, forming and manipulating sparse matrices of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses, and more.

Headings

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1 7 7 0 0 0
  • [H1] quanteda: Quantitative Analysis of Textual Data
  • [H2] quanteda version 4
  • [H2] The quanteda family of packages
  • [H2] How To…
  • [H2] Links
  • [H2] License
  • [H2] Citation
  • [H2] Developers
  • [H3] Install (binaries) from CRAN
  • [H3] Compile from source (macOS and Windows)
  • [H3] Use quanteda
  • [H3] Get Help
  • [H3] Cite the package
  • [H3] Leave Feedback
  • [H3] Contribute

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Text/HTML Ratio

Ratio : 27%

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In-page links

We found a total of 63 links including 4 link(s) to files

Anchor Type Juice
quanteda Internal Passing Juice
Quick Start Guide Internal Passing Juice
Guía de Inicio Rápido Internal Passing Juice
快速入门指南 Internal Passing Juice
クイック・スタートガイド Internal Passing Juice
त्वरित आरंभ Internal Passing Juice
Reference Internal Passing Juice
Parallel computing Internal Passing Juice
External pointer tokens objects Internal Passing Juice
Performance benchmarks Internal Passing Juice
Package design Internal Passing Juice
Changelog Internal Passing Juice
Multi-word expressions Internal Passing Juice
Textual data visualization Internal Passing Juice
Latent Semantic Analysis (LSA) Internal Passing Juice
Chinese text analysis Internal Passing Juice
Social media analysis Internal Passing Juice
Text Analysis with R for Students of Literature Internal Passing Juice
Word embedding (word2vec) Internal Passing Juice
Quantitative Social Science Ch. 5.1 Internal Passing Juice
- Internal Passing Juice
Kenneth Benoit External Passing Juice
Kohei Watanabe External Passing Juice
Quanteda Initiative CIC External Passing Juice
- Internal Passing Juice
article about the new external pointer tokens objects Internal Passing Juice
article showing performance benchmarks Internal Passing Juice
changelog for v4 External Passing Juice
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RTools External Passing Juice
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quick start guide Internal Passing Juice
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https://quanteda.io Internal Passing Juice
tutorial site Internal Passing Juice
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quanteda: An R package for the quantitative analysis of textual data External Passing Juice
https://doi.org/10.21105/joss.00774 External Passing Juice
- Internal Passing Juice
feedback or a testimonial here External Passing Juice
- Internal Passing Juice
pull request External Passing Juice
project GitHub page External Passing Juice
Contributor Code of Conduct External Passing Juice
Style Guide External Passing Juice
File a GitHub issue External Passing Juice
View on CRAN External Passing Juice
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GPL-3 External Passing Juice
Citing quanteda Internal Passing Juice
More about authors... Internal Passing Juice
pkgdown External Passing Juice

SEO Keywords

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tbb author package from install functions code source analysis quanteda

Keywords Consistency

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quanteda 23
install 9
author 8
from 8
functions 8

Usability

Url

Domain : quanteda.io

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Document

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HTML 5

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W3C Validity

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