ali-mohammed-khair-nasser/Text-Summarizer-and-Categorical
Text processing and summarize with the category web application for Arabic and English texts using NLTK, Python, Flask, and other web languages.
This tool helps busy professionals quickly understand the core content and topic of long articles, reports, or documents in both Arabic and English. You input the original text, and it outputs a condensed summary and identifies its main category (like 'finance' or 'sports'). It's designed for anyone who needs to process a lot of written information efficiently.
No commits in the last 6 months.
Use this if you need to quickly get the gist and categorize lengthy written content without reading every word.
Not ideal if you need deep, nuanced analysis or perfect factual accuracy for critical decision-making, as summaries inherently lose some detail.
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8
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2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jul 17, 2021
Commits (30d)
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