LexRank algorithm for text summarization
lexrank 开源项目推荐(31 个)
lexrank 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 31 个仓库Text summarizer for golang using LexRank
一个简单的Python实现的文本摘要基线系统——最大边际相关性(MMR)。
LexRank for Korean.
This Python code scrapes Google search results then applies sentiment analysis, generates text summaries, and ranks keywords.
Extractive Text Summariztion with lexRankr (an R package implementing the LexRank algorithm)
📝 Summary.JS is a Light Weight Article Summary Library for Vanilla JavaScript and Node.js
Unsupervised text summarization using the lexrank algorithm
This repository contains various models for text summarization tasks. Each model has a separate directory containing the implementation code, pretrained weights, and a Jupyter notebook for testing the model on sample input texts. Feel free to use these models for your own text summarization tasks or to experiment with them further.
An automated Text summarizer & Essay grading model was built using Natural Language Processing (NLP) which was then deployed using Flask in Python.
Lexrank sentence salience ranking algorithm for the @retextjs natural language processor
An AI-powered science assistant using NLP and Web Scraping to provide instant, summarized scientific insights. Built with Python, Streamlit, and Sentence Transformers. Optimized for scientific literacy.
It's the Repo containing a model for summarization and classification of the Indian legal cases.
该项目在 GitHub 上没有填写描述
This Python code retrieves thousands of tweets, classifies them using TextBlob and VADER in tandem, summarizes each classification using LexRank, Luhn, LSA, and LSA with stopwords, and then ranks stopwords-scrubbed keywords per classification.
Generating graphical visualization of e-books which gives best explained section of the books in terms of centrality and relevance
This repository contains the MSc thesis project titled "A Generic Multitask Summarizer for Amharic Text Documents". The project addresses the challenges of information overload and automatic text analysis by providing a versatile and parameterizable framework for extractive text summarization.
Automated text summarization system using Lexical chains and Lex Rank.
Text Summarization using LSTM_Attention, TextRank,PyTextRank, LexRank, Gensim and PyTeaser
Implementation of various Extractive Text Summarization algorithms.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/lexrank。
- 该话题在 GitHub 上共有 31 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
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- 当前 20 个项目累计 636 Star,覆盖 5 种主要语言,数据更新于 2026-11-09。
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