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  1. Quantitative Analysis of Textual Data • quanteda

    quanteda.io

    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.

    Artificial Intelligence quanteda.io

Practical guides

Who should use quanteda and what are the requirements?
quanteda is an R package for managing and analyzing text, and it is aimed at R users who need to apply natural language processing to texts, from doc…
What Are the Key Changes in quanteda Version 4?
quanteda 4.0 is a major release of the R package for quantitative text analysis, and it changes three things that affect most users: the tokeniser, t…
What Packages Are Included in the quanteda Family?
The quanteda family consists of four packages: quanteda (core natural language processing and textual data management), quanteda.textmodels (text mod…
What Is quanteda and What Is It Used For?
quanteda is an R package for managing and analyzing text quantitatively. It is designed for R users who need to apply natural language processing to …