Popular GitHub Repositories for Keyword Extraction

Minimal keyword extraction with BERT

文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法

Keyphrase or Keyword Extraction 基于预训练模型的中文关键词抽取方法（论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码）

Large, curated set of benchmark datasets for evaluating automatic keyphrase extraction algorithms.

KeyPhraseTransformer lets you quickly extract key phrases, topics, themes from your text data with T5 transformer | Keyphrase extraction | Keyword extraction

Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation

A Streamlit app to extract keywords using KeyBert

Can we quickly summarize & visualize text to get the details about the unstructured data? Yes we can! Please review this code pattern for all the steps involved to quickly summarize & visualize the data.

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

Video Summarization - Summarized a video lecture and converted it to a slideshow using Speech-to-text, Keyword extraction and OpenCV Shot detection.

Code for the paper: Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization

The Web Metadata Extraction Toolkit is designed to streamline the process of extracting, cleaning, and analyzing metadata from websites. Utilizing advanced AI models and custom extraction strategies, this toolkit helps users efficiently gather data like titles, descriptions, and keywords, which are crucial for SEO and content strategy.

Set of NLP tools.

Genessay is a content generation system where the user can enter incomplete sentences and phrases and the system will generate the content according to the input

Learnify.ai is a web application for students to visualize their notes in a knowledge graph and helps to revise topics based on the amount of study time available for a given course.

Python-Backend for web-scrapping and NLP summarization

Building this project to generate MCQ Questions from any type of text and generate answers and distractors for it.

A model which returns the important keywords of a given document. It can also be used for document summarization.

Fine-tuning CamemBERT for French keywords extraction on custom dataset.