In this project, we propose to implement a web application that can summarize a text or a Wikipedia link. We have additionally been given an opportunity to compare different methods of summarization.
Generates summaries from texts - Wikipedia, Textbox and PDF.
Shortens the paragraph depending on the given keywords using Levenshtein distance
Summarises text for articles in Hindi and compares a custom TF-IDF algorithm with the baseline
Python package for extractive text summarization using centroid distance
The NLP Text Summarizer uses Natural Language Processing techniques to generate concise summaries of text documents, supporting both extractive and abstractive methods.
A simple implementation and UI of Summary Transformer models. Specifically The pszemraj/led-large-book-summary
An application to get text summary of a large article or text using NLP
Text summarization based on SVD & NMF
Simple text summariser using NLTK in python
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