🦄 Unitxt: a python library for getting data fired up and set for training and evaluation

Self-contained Japanese Morphological Analyzer written in pure Go

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language.

Julia implementation of Byte Pair Encoding for NLP

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

Ancient Greek NLP toolkit

spanlp: nlp applied for spanish vulgarity. A fast, robust Python library to check for profanity or offensive language in Spanish strings. It contains all the rude words of Spanish-speaking countries.

A Japanese tokenizer based on recurrent neural networks

A comparison tool of Japanese tokenizers

Discord bot made using python with many features including AI chat, music playback, video downloader, OSINT tools, and more

NLP framework for phonology

Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of 🤗Huggingface.

Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.

Sentiment analysis, also known as opinion mining, is a process that involves analyzing text to determine the sentiment expressed, such as positive, negative, or neutral.

Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language.

Library for clinical NLP with spaCy.

Flask Chatbot using NLP Libraries

Sentiment analysis, also known as opinion mining, is the process of determining the sentiment or emotion expressed in a piece of text.

Emotion detection involves identifying and classifying emotions expressed in textual data. It combines techniques from Natural Language Processing (NLP) and Machine Learning (ML) to analyze and interpret human emotions, which can be applied in various domains like customer service, social media analysis, and mental health monitoring.