https://github.com/theadhithyankr/sentiment-analyzer
Sentiment analysis web app using SVM, Naive Bayes, Flask, HTML, CSS, and JavaScript.
https://github.com/theadhithyankr/sentiment-analyzer
flask html-css-javascript natural-language-processing nlp-machine-learning python sentiment-analysis
Last synced: 16 days ago
JSON representation
Sentiment analysis web app using SVM, Naive Bayes, Flask, HTML, CSS, and JavaScript.
- Host: GitHub
- URL: https://github.com/theadhithyankr/sentiment-analyzer
- Owner: theadhithyankr
- License: mit
- Created: 2025-03-25T07:07:09.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2026-06-02T15:05:45.000Z (about 1 month ago)
- Last Synced: 2026-06-02T17:08:35.865Z (about 1 month ago)
- Topics: flask, html-css-javascript, natural-language-processing, nlp-machine-learning, python, sentiment-analysis
- Language: HTML
- Homepage: https://sentimental-analyser.vercel.app
- Size: 4.08 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Sentiment Analyzer
Sentiment analysis web app using SVM, Naive Bayes, Flask, HTML, CSS, and JavaScript.
## Key Features
- Sentiment analysis web app using SVM, Naive Bayes, Flask, HTML, CSS, and JavaScript
- Backend/runtime files are documented alongside the frontend or app layer when the repository includes them.
## Tech Stack
- Python
- Flask
## Project Structure
- Key files: app.py, models/nb_model.pkl, models/svm_model.pkl, models/vectorizer.pkl.
## Setup and Run
```bash
git clone https://github.com/theadhithyankr/sentiment-analyzer.git
cd sentiment-analyzer
# Open the source files in your preferred editor and run with the matching local toolchain.
```
## What This Project Demonstrates
- Connecting application interfaces to Python services, ML workflows, or backend APIs.
- Presenting project scope, setup, and technical choices clearly for reviewers and recruiters.
## Repository
- GitHub: https://github.com/theadhithyankr/sentiment-analyzer