Java remains one of the most widely used programming languages. We explore the best free and open source Java based NLP tools.
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Tag: nlp
15 Best Free and Open Source Natural Language Processing Tools
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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21 Top Free and Open Source Python Natural Language Processing Tools
Natural language processing (NLP) is an exciting field of computer science, artificial intelligence, and computational linguistics.
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20 Useful R Natural Language Processing Tools
Natural language processing (NLP) is a set of techniques for using computers to detect in human language the kinds of things that humans detect automatically.
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DL4J – deploy and train deep learning models
DL4J supports JVM-based deep learning with neural networks, ND4J numerical computing, SameDiff automatic differentiation and DataVec.
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Syuzhet – sentiment analysis and narrative plot arcs
Syuzhet analyses sentiment and emotional movement in narratives with lexicon-based scores, emotion categories and plot arcs.
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text – transformer-based natural language analysis in R
text provides transformer-based text embeddings, semantic similarity, prediction and language analysis through R workflows.
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RTextTools – automatic text classification via supervised learning
RTextTools is a machine learning package for automatic text classification that makes it simple to get started with machine learning.
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textTinyR – text processing for small and large datasets
textTinyR provides text preprocessing, tokenisation and n-gram generation for large or small collections of documents in R.
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tokenizers – fast and consistent text tokenisation in R
tokenizers converts text into words, sentences, n-grams, paragraphs and other token types with consistent functions for R analysis.
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tidytext – text mining using tidy data principles
tidytext brings text mining into tidy R workflows with tokenisation, sentiment lexicons, term frequencies, and data visualisation.
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quanteda – quantitative analysis of textual data
quanteda provides powerful quantitative text analysis with corpus management, tokenisation, document-feature matrices, and dictionaries.
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wordcloud – create attractive word clouds, visualize differences and similarity between documents
wordcloud creates attractive word clouds, visualize differences and similarity between documents, and avoid over-plotting in scatter plots.
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tm – text mining infrastructure for R
tm offers an extensible R text-mining framework with document corpora, preprocessing tools, term-document matrices, and metadata.
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stringi – fast and portable Unicode string processing
stringi delivers fast Unicode string processing with regular expressions, collation, transliteration, encoding and text normalisation.
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stringr – consistent string manipulation in R
stringr simplifies string manipulation in R with consistent functions for matching, extracting, replacing, splitting and joining text.
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UDPipe – multilingual linguistic annotation in R
UDPipe provides multilingual tokenisation, part-of-speech tagging, lemmatisation, dependency parsing, and keyword extraction in R.
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Word Vectors – build and explore word embeddings in R
Word Vectors trains and explores word embeddings in R with word2vec models, nearest-neighbour searches and cosine similarity.
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spacyr – R interface to the spaCy NLP library
spacyr connects R to spaCy for tokenisation, part-of-speech tagging, lemmatisation, named entity recognition and dependency parsing.
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MITIE – named-entity and relation extraction toolkit
MITIE provides named-entity recognition, entity extraction and relation detection with trainable models and multilingual interfaces.
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