Module for automatic summarization of text documents and HTML pages.
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.
various ways to summarise text using the libraries available for Python: pyteaser, sumy, gensim, pytldr, XLNET, BERT, and GPT2.
Scripts for an upcoming blog "Extractive vs. Abstractive Summarization" for RaRe Technologies.
Text summation using python, deep learning, machine learning, transformer, huggingface, openai and langchain
This is a Natural Language Processing applications WebApp useful for basic NLP task implemented using State of the Art API's on Streamlit Framework
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.
Rezak - сокращатель текста
SumSimple is a FastAPI-based text summarization service using traditional, non-LLM algorithms like SumBasic, Luhn, Edmundson, LexRank, TextRank, and LSA.
Text Summarizer, Flipkart Web Scraper and Online Video Downloader
An end-to-end Machine learning Flask web-app for text summarization.
A service that scrapes google and youtube search to transcribe and obtain summaries of articles and videos. Made for Inventure Hackathon 2020 by team Etwas
🇺🇦️🟩️ Data set for the Ukraine History Simulator project that contains data for Sumy Oblast in Ukraine
SEC 10-K & 10-Q Forms Summarizer POC. Forked from my contribution in the following repo :-
Text Summarization
YouTube Comment Analysis for ranking videos.
Classification and Summarization
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