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Description
Deep Learning Simplified Repository (Proposing new issue)
🔴 Project Title : Daily News Text Summarizer
🔴 Aim : Develop a system that automatically summarizes news articles, providing concise and relevant information for users to stay updated efficiently.
🔴 Dataset : CNN / DailyMail Dataset containing around 300k unique news articles written by journalists at CNN and the Daily Mail.
🔴 Approach : Text summarization algorithms, such as Extractive Summarization (e.g., TextRank), Abstractive Summarization (e.g., BERT or GPT-based models), and Sequence-to-Sequence models. Conduct Exploratory Data Analysis (EDA) to identify trends, patterns, and key topics before developing the models. Compare algorithm performance based on metrics such as ROUGE scores, and select the best-fit algorithm for generating accurate and concise summaries.
📍 Follow the Guidelines to Contribute in the Project :
- You need to create a separate folder named as the Project Title.
- Inside that folder, there will be four main components.
- Images - To store the required images.
- Dataset - To store the dataset or, information/source about the dataset.
- Model - To store the machine learning model you've created using the dataset.
requirements.txt- This file will contain the required packages/libraries to run the project in other machines.
- Inside the
Modelfolder, theREADME.mdfile must be filled up properly, with proper visualizations and conclusions.
🔴🟡 Points to Note :
- The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
- "Issue Title" and "PR Title should be the same. Include issue number along with it.
- Follow Contributing Guidelines & Code of Conduct before start Contributing.
✅ To be Mentioned while taking the issue :
- Full name : Soumya Gupta
- GitHub Profile Link : https://github.com/Soumya0927
- Email ID : soumyag27402@gmail.com
- Participant ID (if applicable):
- Approach for this Project : Mentioned above
- What is your participant role? GSSoC'24 extended and Hactoberfest'24
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎