A day to day plan for this challenge. Covers both theoritical and practical aspects

TextRank implementation for C#

A Dataset for Thai Text Summarization with over 310K articles.

A writer that can generate news after a game using live texts.

Using Spacy and NLTK module with Tf-Idf algorithm for text-summarisation. This code will give you the summary of inputted article. You can input text directly or from .txt file, .pdf file or from wikipedia url.

various ways to summarise text using the libraries available for Python: pyteaser, sumy, gensim, pytldr, XLNET, BERT, and GPT2.

针对LCSTS数据集，目前有两种预处理方式。

A Hiphop v. Literature project to demonstrate using NLP that Hip-Hop is a form of literature and rap artists are literary geniuses.

This notebook leverages Transfer Learning Algorithms and standard NLP procedures to summarize a given paragraph meaningfully.

Document based ChatGPT

PDF Text Summarization and Q&A Chatbot This project is a Streamlit-based web application that allows users to upload PDF documents, extract and summarize their text content, and interact with a Q&A chatbot to get answers related to the document.

毕业设计开源代码 分别实现了抽取式中文文本摘要和生成式中文文本摘要

Text summarization is the problem of creating a short, accurate, and fluent summary of a longer text document

LongT5-based model pre-trained on a large amount of unlabeled Vietnamese news texts and fine-tuned with ViMS and VMDS collections

SumSimple is a FastAPI-based text summarization service using traditional, non-LLM algorithms like SumBasic, Luhn, Edmundson, LexRank, TextRank, and LSA.

A fully offline NLP pipeline for extracting, chunking, embedding, querying, summarizing, and translating research documents using local LLMs. Inspired by the fictional mystery of Dr. X, the system supports multi-format files, local RAG-based Q&A, Arabic translation, and ROUGE-based summarization — all without cloud dependencies.

Cet article passe en revue l'analyse sémantique latente (LSA), une théorie de la signification ainsi qu'une méthode pour extraire ce sens de passages de texte, basée sur des statistiques calculs sur un ensemble de documents. LSA comme théorie du sens définit un espace sémantique latent où les documents et les mots individuels sont représentés so…

文本摘要 + TextRank4 + docker

A personal project that explores the text mining capabilities of the (tm) package in R