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## Problem
Currently, our summarizer API doesn't handle large documents efficiently. When the input text exceeds the model's context window, the API fails to process. Users need to manually split lar…
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As a user, I would like to be able to have automatic analysis of content.
Specifically,
- Podcasts
- RSS Feeds/Blogposts
- Arxiv/Similar Paper releases
For Podcasts:
- Summarization and mindma…
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The library can extract any manual excerpt that is contained in the article (i.e., the short summary that usually is shown in Facebook or Twitter). However, it can be useful to also generate an automa…
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Thanks to @micahstubbs and @amyxzhang for spurring this.
Interpretability of Polis results has been, and continues to be, a critical issue for Polis as a platform, and a challenge to the usage of t…
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### Advanced Extractive Text Summarization Model! This project uses Natural Language Processing (NLP) techniques to automatically distill essential points from lengthy content, making it an invaluable…
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Look into:
- [Smmry](smmry.com)
- [Aylien](http://aylien.com/)
- [Agolo](http://www.agolo.com/)
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### AI-Powered News Summarizer and Sentiment Analyzer
**Description**:
Develop a web application using Streamlit that takes in news articles, extracts the main points, and provides a concise su…
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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Daily News Text Summarizer
:red_circle: **Aim** : Develop a system that automatically summarizes news a…
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Instead of having the packages needed, [requirements.txt currently is just](https://github.com/SV-1411/Document-Summarization/blob/main/requirements.txt)
> pip install -r requirements.txt
I …
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Here’s how you can structure the details of your **YouTube video summarizer** Python project:
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🔍 **Problem Description**:
The problem addressed by this project is the increasing consumptio…