Amey-Thakur/TEXT-SUMMARIZER
Machine Learning Project to Compare and Evaluate Text Summarization Algorithms Using SpaCy, NLTK, Gensim, and Sumy.
This tool helps busy professionals quickly grasp the core ideas from lengthy texts or web articles. You input the original text or a URL, and it provides several concise summaries, comparing how different algorithms condense the information. It's ideal for anyone who needs to extract key insights without reading through entire documents.
Use this if you frequently need to get the main points from long articles, reports, or web pages and want to compare different summarization styles.
Not ideal if you need human-quality, interpretive summaries or wish to summarize highly specialized content where nuance is critical.
Stars
39
Forks
11
Language
HTML
License
MIT
Category
Last pushed
Feb 20, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Amey-Thakur/TEXT-SUMMARIZER"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
akashp1712/nlp-akash
Natural Language Processing notes and implementations.
Chintan2108/Text-Classification-and-Context-Mining-for-Document-Summarization
Automnomously attempting a categorical summarization of a sparse, asymmetrical corpus in English...
fahmisalman/Simple-News-Summarization
Simple news summarization
mihirsam/Information-Extraction-using-CNN
Extract the summary from the given text using Convolution Neural Network
minasmz/Persian-Summarization
Statistical and Semantical Text Summarizer in Persian Language