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Quantitative Analysis of Textual Data
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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 con
image
site name
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2025-12-20 12:03:31
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Quantitative Analysis of Textual Data • quanteda Toggle navigation quanteda 4.0.0 Quick Start Quick Start Guide Guía de Inicio Rápido 快速入门指南 クイック・スタートガイド त्वरित आरंभ Reference Features External pointer tokens objects Performance benchmarks for v4 Package design Changelog Examples Multi-word expressions Textual data visualization Latent Semantic Analysis (LSA) Chinese text analysis Social media analysis Replications Text Analysis with R for Students of Literature Word embedding (word2vec) Quantitative Social Science Ch. 5.1 quanteda: Quantitative Analysis of Textual Data quanteda is an R package for managing and analyzing text, created and maintained by Kenneth Benoit and Kohei Watanabe . Its creation was funded by the European Research Council grant ERC-2011-StG 283794-QUANTESS and its continued development is supported by the Quanteda Initiative CIC . The package is designed for R users needing to apply natu...
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