Jcseg is a light weight NLP framework developed with Java. Provide CJK and English segmentation based on MMSEG algorithm, With also keywords extraction, key sentence extraction, summary extraction implemented based on TEXTRANK algorithm. Jcseg had a build-in http server and search modules for lucene,solr,elasticsearch,opensearch

历年ICLR论文和开源项目合集，包含ICLR2021、ICLR2022、ICLR2023、ICLR2024、ICLR2025.

It is a medical chatbot that will provide quick answers to FAQs by setting up rule-based keyword chatbots.

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

Türk?e i?in bir kara liste (blacklist)

Lazy, AI chatbot service.

A NodeJS implementation of the Rapid Automatic Keyword Extraction algorithm.

CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging

Natural Language Processing (NLP). Covering topics such as Tokenization, Part Of Speech tagging (POS), Machine translation, Named Entity Recognition (NER), Classification, and Sentiment analysis.

A practical guide to topic mining and interactive visualizations

A software tool that converts text to video for more engaging learning experience

RaKUn 2.0 - A fast keyword detection algorithm

Natural language understanding library for chatbots with intent recognition and entity extraction.

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

simple rule based named entity recognition

基于深度学习的中文NLP工具

Medical domain-focused GPT-2 fine-tuning, optimization, and lightweighting research repository (compared to GPT-4).

Toolkit with state-of-the-art Automatic Terms Recognition methods in Scala

a simple implementation of textrank algorithm for nlp keywords extraction

Aspect-Based Opinion Mining involves extracting aspects or features of an entity and figuring out opinions about those aspects. It's a method of text classification that has evolved from sentiment analysis and named entity extraction (NER). ABOM is thus a combination of aspect extraction and opinion mining. While opinions about entities are usef…