Syuzhet is an R package for the extraction of sentiment and sentiment-based plot arcs from text.
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Syuzhet is an R package for the extraction of sentiment and sentiment-based plot arcs from text.
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text is an R package for analyzing natural language with transformers-based large language models.
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The corpustools package offers various tools for anayzing text corpora.
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RTextTools is a machine learning package for automatic text classification that makes it simple to get started with machine learning.
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The textTinyR package consists of text processing functions for small or big data files.
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sentimentr calculates text polarity sentiment in the English language at the sentence level.
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topicmodels provides an interface to the C code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM)
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tokenizers is an R package offers functions with a consistent interface to convert natural language text into tokens.
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textclean is a collection of tools to clean and normalize text. Many of these tools have been taken from the qdap package
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Natural language processing (NLP) is a field of computer science, artificial intelligence, and computational linguistics concerned with the interactions between computers and human (natural) languages.
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tidytext is text mining for word processing and sentiment analysis using ‘dplyr’, ‘ggplot2’, and other tidy tools.
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quanteda (Quantitative Analysis of Textual Data) is an R package for managing and analyzing text.
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wordcloud creates attractive word clouds, visualize differences and similarity between documents, and avoid over-plotting in scatter plots.
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tm (shorthand for Text Mining Infrastructure in R) provides a framework for text mining applications within R.
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stringi is an R package for fast, portable, correct, consistent, and convenient string/text processing in any locale or character encoding.
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The stringr package provides a cohesive set of functions designed to make working with strings as easy as possible.
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UDPipe provides language-agnostic tokenization, tagging, lemmatization and dependency parsing of raw text.
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Word Vectors is an R package for building and exploring word2vec and other word embedding models.
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spacyr provides a convenient R wrapper around the Python spaCy package.
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MITIE: MIT Information Extraction offers state-of-the-art information extraction tools. MITIE is free and open source software.
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