https://github.com/salamjillani/dsa-cep

https://github.com/salamjillani/dsa-cep

Last synced: 3 days ago
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• Host: GitHub
• URL: https://github.com/salamjillani/dsa-cep
• Owner: salamjillani
• Created: 2023-10-08T18:58:50.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-20T09:59:44.000Z (over 1 year ago)
• Last Synced: 2025-01-25T00:19:30.962Z (21 days ago)
• Language: Jupyter Notebook
• Size: 1.94 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# DSA-CEP

Project Title: **Sentiment Analysis with LSTM and Keras**

Project Description: Sentiment analysis using Long Short-Term Memory (LSTM) networks with the user-friendly Keras library in Python. It involves deciphering whether a piece of text expresses a positive, negative, or neutral sentiment. Its applications span a wide spectrum, from monitoring social media reactions to analyzing customer feedback and product reviews. For this walkthrough, we’ll focus on categorizing tweets into ‘positive’ or ‘negative’ sentiments.

Group Members: Sayed Abdul Salam ( 20SW013 ), 

               Danish Anodher ( 20SW079 ) &

               Ahsan Ali ( 20SW135 )