Text Analysis
Showing 17 of 17 projects
A curated list of resources dedicated to Natural Language Processing (NLP), including libraries, datasets, tutorials, and research.
A Python library for topic modeling, document indexing, and similarity retrieval with large corpora.
A Python library for topic modeling, document indexing, and similarity retrieval with large text corpora.
A comprehensive Python library for natural language processing, providing modules, datasets, and tutorials for NLP research and development.
A comprehensive Node.js library offering a wide range of natural language processing facilities.
A Python web mining module with tools for scraping, NLP, machine learning, network analysis, and visualization.
A linter that catches insensitive, inconsiderate writing in plain text, HTML, Markdown, and MDX.
A naive linter for English prose that helps developers improve their writing by detecting common style issues.
A command-line linter for English prose that checks writing style, grammar, and usage against advice from expert writers.
Detect the language of text with support for up to 419 languages, more than any other library.
A Python library and CLI tool for automatic text summarization using extractive methods like LexRank, LSA, Luhn, and Edmundson.
A Python library for computing distances between sequences with 30+ algorithms, pure Python implementation, and optional external libraries for speed.
A free, state-of-the-art library and toolkit for named entity extraction and binary relation detection from text.
A Python library that automatically detects the character encoding of text files and byte streams with high accuracy and speed.
A natural language processor powered by plugins that transforms and analyzes text using syntax trees.
A Python NLP library built on spaCy for text preprocessing, feature extraction, and analysis tasks.
An easy-to-use, state-of-the-art named-entity recognition (NER) tool based on neural networks.
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