https://github.com/izam-mohammed/mood-reader

An End-to-End production ready application for predicting the the sentiment of a sentence. 📝 It covers collecting data, processing it, and training a model to understand sentiments and deployment 🚀
https://github.com/izam-mohammed/mood-reader

data-science flask ml sentiment-analysis sentiment-classification

Last synced: 4 days ago
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An End-to-End production ready application for predicting the the sentiment of a sentence. 📝 It covers collecting data, processing it, and training a model to understand sentiments and deployment 🚀

• Host: GitHub
• URL: https://github.com/izam-mohammed/mood-reader
• Owner: izam-mohammed
• License: mit
• Created: 2023-12-09T09:43:23.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2024-03-03T20:07:13.000Z (9 months ago)
• Last Synced: 2024-05-01T23:37:11.910Z (7 months ago)
• Topics: data-science, flask, ml, sentiment-analysis, sentiment-classification
• Language: Jupyter Notebook
• Homepage: https://mood-reader-taupe.vercel.app
• Size: 3 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Sentiment Analysis

### Workflows

1. Update config.yaml

2. Update schema.yaml

3. Update params.yaml

4. Update the entity

5. Update the configuration manager in src config

6. Update the components

7. Update the pipeline 

8. Update the main.py

9. Update the app.py