An unsupervised text summarization and information retrieval library under the hood using natural language processing models

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.

Codebase for the paper "An Integrated Approach for Improving Brand Consistency of Web Content: Modeling, Analysis and Recommendation" submitted to ACM Transactions on the Web (TWEB)

Summarizes both textual input as well as text present in an image using Sentence Ranking