Repo for NAACL 2025 Paper "Unfolding the Headline: Iterative Self-Questioning for News Retrieval and Timeline Summarization"

News summarization using sequence to sequence model with attention in TensorFlow.

Groqqle is a powerful web search and content summarization tool built with Python, leveraging Groq's LLM API for advanced natural language processing. It offers customizable web and news searches, image analysis, and adaptive content summaries, making it ideal for researchers, developers, and anyone seeking enhanced information retrieval.

A full Python pipeline that allows for the scraping, summarization and sentiment calculation for stock and crypto news.

Generate Multiple choice Questions from any content or news article using BERT Extractive Summarization, Wordnet and Conceptnet

A simple python implementation of the Maximal Marginal Relevance (MMR) baseline system for text summarization.

A Real Time Fake News Detection System With Text Summarization and Online Bot With it

This repository contains code for a near real-time news clustering and summarization solution using AWS services like Lambda, Step Functions, Kinesis, and Bedrock. It demonstrates how to efficiently process, embed, cluster, and summarize large volumes of news articles to provide timely insights for financial services and other industries.

Text Summarization using NLP to fetch BBC News Article and summarize its text and also it includes custom article Summarization

Gazeta: Dataset for automatic summarization of Russian news / Газета: набор данных для автоматического реферирования на русском языке

Our goal is to implement text summarization by generating headline for a news body using recurrent neural networks. We attempt to reproduce the results in the paper: https://arxiv.org/pdf/1512.01712.pdf

Multi-Modal Fine-Grained Fake News Detection with Dialogue Summarization

Gideon turns your Discord server into an AI-powered hub—enabling smart conversations, creative image generation, visual analysis, news summarization, adventure creation, and seamless discussion management, all with state-of-the-art language and image models.

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Get AI-powered daily news summaries directly in your Obsidian vault. Stay informed about your topics of interest with smart, automated news collection and summarization.

A feature-rich web application for automated news scraping and summarization. It allows users to enter article URLs, fetches the full content, and generates concise summaries. The system supports both local inference with custom models and remote deployment via FastAPI or Streamlit interfaces.

WebApp to bring together Text Summarization and Sentiment Analysis of the stock related news to better understand the stock price trends.

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We will build a Flask web app that can input any long piece of information such as a blog or news article and summarize it into just five lines! Text summarization is an NLP(Natural Language Processing) task. SBERT(Sentence-BERT) has been used to achieve the same.

Extractive automatic multi-document news article summarization

Built Logistic regression, SVM, Naive Bayes, RandomForest, KNN for text classification on scrapped news data. Built Text rank, LDA and K-means clustering for text summarization.

A news application in Android that offers the recommended, summarized news articles in as short and crisp format from multiple news sources per user’s choice. Key Features: Recommendation System Engine (gives recommended news articles), NLP Summarization (gives a 5 sentence summarized for each articles), Popularity-based Trending System (to stay up-to date with the most popular news) and Multiple news sources to choose (Over 15 News Sources). Download the app at http://www.entirenews.tk and please share your feedback with us

A deep learning NLP project summarizing the news stories

NLP: An Approach to Automatic Trending Tweet Summarization. Summaries will greatly help the user in understanding “why the topic is trending”. We have proposed an algorithm which automatically generates summaries for trending topics/hashtags based on tweets and it's related news article.

Tool for automatic summarization of news articles

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Module for automatic summarization of text documents. 新闻自动文本摘要模块。

Bert Abstractive Summarization of Online News Discussion Threads

Project on Abstractive Summarization of News for course on Natural Language Processing at IIT Delhi