Deep Learning Simplified Repository (Proposing new issue)

🔴 Project Title : Enhacing Sentiment Analysis Model

🔴 Aim : Using BERT and roberta-based models to improve metrics

🔴 Dataset :(an existing repository)https://github.com/abhisheks008/DL-Simplified/tree/main/Sentiment%20Analysis%20Model

🔴 Approach :Use NLTK for text preprocessing
Implement BERT model
Implement a roberta-base model ffor sentiment analysis

📍 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 Model folder, the README.md file 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 : Nour Gaboussa
• GitHub Profile Link : https://github.com/nour-gab
• Email ID : [email protected]
• Participant ID (if applicable): discord:nour_g
• Approach for this Project : I will implement several Encoder models to enhance performance in setiment analysis
• What is your participant role?Gssoc'24 Contributor

Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎