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Sentiment Analyzer\n\nSentiment analysis web app using SVM, Naive Bayes, Flask, HTML, CSS, and JavaScript.\n\n## Key Features\n- Sentiment analysis web app using SVM, Naive Bayes, Flask, HTML, CSS, and JavaScript\n- Backend/runtime files are documented alongside the frontend or app layer when the repository includes them.\n\n## Tech Stack\n- Python\n- Flask\n\n## Project Structure\n- Key files: app.py, models/nb_model.pkl, models/svm_model.pkl, models/vectorizer.pkl.\n\n## Setup and Run\n```bash\ngit clone https://github.com/theadhithyankr/sentiment-analyzer.git\ncd sentiment-analyzer\n# Open the source files in your preferred editor and run with the matching local toolchain.\n```\n\n## What This Project Demonstrates\n- Connecting application interfaces to Python services, ML workflows, or backend APIs.\n- Presenting project scope, setup, and technical choices clearly for reviewers and recruiters.\n\n## Repository\n- GitHub: https://github.com/theadhithyankr/sentiment-analyzer\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftheadhithyankr%2Fsentiment-analyzer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftheadhithyankr%2Fsentiment-analyzer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftheadhithyankr%2Fsentiment-analyzer/lists"}