Natural Language Processing
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A deprecated Node.js sample application demonstrating IBM Watson Natural Language Classifier service features.
A natural language processing framework for JVM languages with comprehensive linguistic analysis tools.
An English (Porter2) stemming implementation in Elixir for reducing words to their base forms.
An open-source starter solution for the Kaggle Toxic Comment Classification Challenge, providing ready-to-use machine learning pipelines for detecting online harassment.
A .NET Standard library for accessing IBM Watson cognitive services like Assistant, Discovery, and Speech-to-Text.
A TensorFlow-based neural network model for generating descriptive captions from images using Flickr30K and MSCOCO datasets.
A Python toolbox using deep belief networks for topic modeling on document data, producing latent representations for content-based recommendation.
A Ruby interface to the WordNet lexical database, enabling natural language processing and linguistic analysis.
A Node.js sample application demonstrating IBM Watson Natural Language Understanding service features.
A fast implementation of the Porter stemming algorithm for English word normalization in natural language processing.
A Ruby wrapper for Latent Dirichlet Allocation (LDA) that clusters documents into topics with native, Rust, and pure Ruby backends.
A Java framework for developing statistical natural language processing (NLP) components on Apache UIMA.
A C++ and Python library for efficient extraction and analysis of n-grams, skipgrams, and flexgrams from large corpora.
A Go implementation of the Rapid Automatic Keyword Extraction (RAKE) algorithm for extracting keywords from text.
A graphical syntax tree generator for linguistic research that creates publication-quality tree diagrams from bracket notation.
A Ruby gem that extracts structured date, time, and message information from naturally worded text.
A Ruby gem for lemmatizing English text, converting inflected words to their base dictionary forms.
A Python library providing German language support for TextBlob, enabling NLP tasks like tokenization, POS tagging, and sentiment analysis.
A Node.js implementation of Martin Porter's stemming algorithm for removing morphological endings from English words.
A natural language processing library for Uralic and other languages, offering morphological analysis, generation, lemmatization, and lexical information.
A Julia package providing high-performance, configurable tokenizers and sentence splitters for natural language processing.
A Zsh plugin that converts natural language descriptions into shell commands using AI, with ghost text preview.
A characteristic-rich dataset for factoid question answering with explicit question specifications to enable fine-grained QA system evaluation.
A multilingual Ruby gem for splitting strings into tokens with extensive language support and configurable options.
A high-level Python toolbox for topic modeling with easy-to-use functions and command-line interface.
Ruby bindings for Stanford NLP tools providing part-of-speech tagging and named entity recognition capabilities.
Archived R package for accessing the Monkeylearn API for text classification and extraction.
A collection of refactored, high-quality Android examples demonstrating TensorFlow Lite for on-device machine learning tasks.
Ruby bindings to the OpenNLP Java toolkit for natural language processing tasks like tokenization, POS tagging, and named entity recognition.
A Ruby port of the NLTK Punkt algorithm for unsupervised, language-independent sentence boundary detection.
A Go library for Unicode text segmentation at word boundaries as defined by Unicode Standard Annex #29.
A collection of code samples demonstrating how to use Azure's Language Understanding (LUIS) service for natural language processing.
TensorFlow implementation of hierarchical attention networks for document classification using GRU cells and attention mechanisms.
A Directus extension that adds an AI-powered chat interface to query and analyze your data using OpenAI.
A Python pipeline for multilingual text clustering using Latent Dirichlet Allocation with stop words removal, n-gram features, and inverse stemming.
A Ruby natural language parser for recurring events that interprets expressions like 'every 2 days' or 'Sundays'.
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