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.

Türkçe için bir kara liste (blacklist)

Lazy, AI chatbot service.

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 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

A practical guide to topic mining and interactive visualizations

RaKUn 2.0 - A fast keyword detection algorithm

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

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 useful, opinions about aspects of those entities are more granular and insightful.

An end-to-end event extraction and summarization system.

Natural Language processing in tensorflow

A multi-source supplier risk dataset combining KG scores, semantic similarity, and external disruption signals ideal for supply chain resilience research. Useful for researchers working on supplier risk assessment, multi-objective optimization, or reinforcement learning in dynamic sourcing environments.

Articleate is an Android application that performs text analysis and extraction on internet news articles.

how to build up Knowledge graph

Kevin is an advanced AI Software Engineer designed to streamline various tasks related to programming and project management. With sophisticated capabilities in code generation, Kevin can assist users in translating ideas into functional code efficiently.

Feet is a tool for extracting entities from a text according to dictionaries.

https://pypi.org/project/iNLP/

Plots a word association graph between the nouns in a given text with the adjectives and verbs in the text

Análisis Computacional de Eventos de Protesta (ACEP). Computer-Aided Protest Event Analysis (CAPEA)