This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube

Automatic summarizer text in Swift

提供一款中文版生成式摘要服务

Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network

Automatic text summarization

a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)

In this notebook, we will build an abstractive based text summarizer using deep learning from the scratch in python using keras

A Ruby C wrapper for Open Text Summarizer

Text summarizer for golang using LexRank

Python Framework for Extractive Text Summarization

:mortar_board:RESEARCH [NLP :speech_balloon:] This is an implementation of "Automatic Consensus-Based Text Summarizer" along with text-organizing capabilities that can generate genre-specific, generic or user-configured summaries of a large amount of unorganized text. We are currently using a number of independent text-mining algorithms based on different statistical models to compute the summaries and combining them using configurable consensus techniques.:exclamation::boom:

Statistical and Semantical Text Summarizer in Persian Language

TextRank implementation for C#

Algorithmic summarizer for RSS/Atom Feeds, Web Urls and arbitrary text. Codebase for the application deployed at http://tldrzr.herokuapp.com

Lightweight NLP text summarizer using Streamlit and TF-IDF. Summarize long texts instantly!

YouTube Transcript Summarization over Flask: This back-end uses Flask framework to receive API calls from the client and then respond with the summarized text response. This API can work only on those YouTube videos which has well-formatted closed captions in it. The same backend also hosts a web version of the Summarizer.

URL articles text summarizer using Web Crawling and NLP (written in Python)

ruby bindings to open text summarizer

In a nutshell, this is a Text Summarizer

UNMAINTAINED: A multidocument text summarizer, the final project for CIS-530: Intro to Computational Linguistics

Machine Learning Project to Compare and Evaluate Text Summarization Algorithms Using SpaCy, NLTK, Gensim, and Sumy.

Highly performant version of open-text-summarizer

The Summarizer from the Web IR / NLP Group (WING), hence SWING, is a modular, state-of-the-art automatic extractive text summarization system. It is used as the basis for summarization research at the National University of Singapore. It performs as one of the leading automatic summarization systems in the international TAC competition, getting high marks for the ROUGE evaluation measure

Multilingual automatic text summarizer using statistical approach and extraction

AI Text Summarizer is a web application that uses artificial intelligence to generate concise summaries of long texts. It helps users quickly extract key information from articles, research papers, and documents.

Automatic Document Summarizer using Bipartite HITS, Natural Language Processing (NLP)

Text summarization based on sentence extraction for nodejs

Generate a summarized description of a body of text

Text summarization with BERT using bert-extractive-summarizer

Use Google's state-of-the-art T5 pre-train model to create human-like summarization