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.

Abstractive Text Summarization with T5, assessed using the ROUGE metrics 🌟📊

Using a deep learning model that takes advantage of LSTM and a custom Attention layer, we create an algorithm that is able to train on reviews and existent summaries to churn out and generate brand new summaries of its own.

Prepare Text Reviews Summary

Implementation of Abstractive and Extractive Text Summarization using Google Pegasus and Google BERT respectively.

Implementation of an Attention-based LSTM Encoder-Decoder Approach for Abstractive Text Summarization

Summarize the text entered by the user

Abstractive text summarization generates a shorter version of a given sentence while attempting to preserve its contextual meaning. In our approach we model the problem using an attentional encoder decoder which ensures that the decoder focuses on the appropriate input words at each step of our generation.

An ai-as-a-service for abstractive text summarizaion

Summarizing text to extract key ideas and arguments

Using various NLP libraries for Text Summarization

Extractive and abstractive method

Use of Transformers for NLP tasks

perfroming abstractive text summariztion task using T5, and serving it via REST API

Extractive and Abstractive Text Summarization of US Supreme Court Opinions

Abstractive text summarisation using BART model on articles data.

News Headline and Summary Generation through Abstractive Summarization: Project Repo for Adavanced Machine Learning (AML) course at Ashoka

Text Summarization using Abstractive text summarization

Transforming lengthy textual content into concise and meaningful summaries is the essence of this project. Leveraging the power of the Pegasus model, our abstractive text summarization repository aims to distill complex information into succinct and coherent summaries. Pegasus, state-of-the-art pre-trained model, excel in generating human like text