quanteda - Quantitative Analysis of Textual Data
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.
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corpusnatural-language-processingquantedatext-analyticsonetbbcpp
16.67 score 893 stars 64 dependents 6.3k scripts 16k downloadsreadtext - Import and Handling for Plain and Formatted Text Files
Functions for importing and handling text files and formatted text files with additional meta-data, such including '.csv', '.tab', '.json', '.xml', '.html', '.pdf', '.doc', '.docx', '.rtf', '.xls', '.xlsx', and others.
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encodingquantedatext
10.84 score 121 stars 9 dependents 1.7k scripts 3.2k downloadsstopwords - Multilingual Stopword Lists
Provides multiple sources of stopwords, for use in text analysis and natural language processing.
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text-analysis
10.70 score 119 stars 77 dependents 1.4k scripts 13k downloadsspacyr - Wrapper to the 'spaCy' 'NLP' Library
An R wrapper to the 'Python' 'spaCy' 'NLP' library, from <https://spacy.io>.
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extract-entitiesnlpspacyspeech-tagging
10.10 score 254 stars 7 dependents 537 scripts 1.3k downloadsquanteda.textstats - Textual Statistics for the Quantitative Analysis of Textual Data
Textual statistics functions formerly in the 'quanteda' package. Textual statistics for characterizing and comparing textual data. Includes functions for measuring term and document frequency, the co-occurrence of words, similarity and distance between features and documents, feature entropy, keyword occurrence, readability, and lexical diversity. These functions extend the 'quanteda' package and are specially designed for sparse textual data.
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onetbbcpp
9.04 score 18 stars 11 dependents 1.2k scripts 3.2k downloadsquanteda.textmodels - Scaling Models and Classifiers for Textual Data
Scaling models and classifiers for sparse matrix objects representing textual data in the form of a document-feature matrix. Includes original implementations of 'Laver', 'Benoit', and Garry's (2003) <doi:10.1017/S0003055403000698>, 'Wordscores' model, the Perry and 'Benoit' (2017) <doi:10.48550/arXiv.1710.08963> class affinity scaling model, and the 'Slapin' and 'Proksch' (2008) <doi:10.1111/j.1540-5907.2008.00338.x> 'wordfish' model, as well as methods for correspondence analysis, latent semantic analysis, and fast Naive Bayes and linear 'SVMs' specially designed for sparse textual data.
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openblascpp
8.90 score 46 stars 1 dependents 518 scripts 1.1k downloadsquanteda.textplots - Plots for the Quantitative Analysis of Textual Data
Plotting functions for visualising textual data. Extends 'quanteda' and related packages with plot methods designed specifically for text data, textual statistics, and models fit to textual data. Plot types include word clouds, lexical dispersion plots, scaling plots, network visualisations, and word 'keyness' plots.
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cpp
6.83 score 9 stars 938 scripts 1.6k downloadsnsyllable - Count Syllables in Character Vectors
Counts syllables in character vectors for English words. Imputes syllables as the number of vowel sequences for words not found.
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5.82 score 11 stars 12 dependents 13 scripts 2.6k downloads