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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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.
Read moretidytext is text mining for word processing and sentiment analysis using ‘dplyr’, ‘ggplot2’, and other tidy tools.
Read morequanteda (Quantitative Analysis of Textual Data) is an R package for managing and analyzing text.
Read morewordcloud creates attractive word clouds, visualize differences and similarity between documents, and avoid over-plotting in scatter plots.
Read moretm (shorthand for Text Mining Infrastructure in R) provides a framework for text mining applications within R.
Read morestringi is an R package for fast, portable, correct, consistent, and convenient string/text processing in any locale or character encoding.
Read moreThe stringr package provides a cohesive set of functions designed to make working with strings as easy as possible.
Read moreUDPipe provides language-agnostic tokenization, tagging, lemmatization and dependency parsing of raw text.
Read moreWord Vectors is an R package for building and exploring word2vec and other word embedding models.
Read morespacyr provides a convenient R wrapper around the Python spaCy package.
Read moreMITIE: MIT Information Extraction offers state-of-the-art information extraction tools. MITIE is free and open source software.
Read moretext2vec is an R package which provides an efficient framework with a concise API for text analysis and natural language processing (NLP).
Read moreMoses is a statistical machine translation system to automatically train translation models for any language pair.
Read moreTiMBL is an open source tool for NLP research, and for many other domains where classification tasks are learned from examples.
Read moreMeTA is a C++ data sciences toolkit. A suite of natural language processing, classification, information retrieval, data mining, and more.
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