https://github.com/theadhithyankr/sentimental-analyser
A Sentiment Analysis Web App using SVM & Naïve Bayes with an interactive sentiment scale!
https://github.com/theadhithyankr/sentimental-analyser
flask html-css-javascript natural-language-processing nlp-machine-learning python sentiment-analysis
Last synced: about 1 year ago
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A Sentiment Analysis Web App using SVM & Naïve Bayes with an interactive sentiment scale!
- Host: GitHub
- URL: https://github.com/theadhithyankr/sentimental-analyser
- Owner: theadhithyankr
- License: mit
- Created: 2025-03-25T07:07:09.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-04-20T17:18:41.000Z (about 1 year ago)
- Last Synced: 2025-06-01T16:16:26.949Z (about 1 year 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 Analysis Web App
A Flask-based web application that analyzes text sentiment using **Naïve Bayes** and **Support Vector Machine (SVM)** models. It features a **dynamic pH-like sentiment scale** to visualize the positivity, neutrality, or negativity of the input text.
---
## 🚀 Features
- 📊 **Sentiment Analysis** using Naïve Bayes & SVM
- 🎨 **Dynamic Sentiment Scale** (Negative → Mixed → Neutral → Positive)
- ⚡ **Fast Processing** with real-time predictions
- 🔧 **Pre-trained Models** for accurate results
---
## 📂 Project Structure
```
💃 SENTIMENTAL_ANALYSIS
│── 📃 models
│ ├── nb_model.pkl
│ ├── svm_model.pkl
│ └── vectorizer.pkl
│── 📃 static
│ └── style.css
│── 📃 templates
│ └── index.html
│── app.py
│── README.md
│── LICENSE
```
---
## 🛠️ Setup Instructions
### 1⃣ Clone the Repository
```bash
git clone https://github.com/YOUR-USERNAME/sentiment-analysis.git
cd sentiment-analysis
```
### 2⃣ Create & Activate Virtual Environment
```bash
python -m venv venv
# Activate (Windows)
venv\Scripts\activate
# Activate (Mac/Linux)
source venv/bin/activate
```
### 3⃣ Install Dependencies
```bash
pip install -r requirements.txt
```
### 4⃣ Run the Application
```bash
python app.py
```
Access it at: **`http://127.0.0.1:5000/`**
---
## 🗄 Demo
*Example of the sentiment scale transitioning from red (negative) to green (positive).*
---
## 💜 License
This project is licensed under the **MIT License** – see the [`LICENSE`](LICENSE) file for details.
---
## ⭐ Contributing
Feel free to fork and improve the project! PRs are welcome. 😊
---
## 👨💻 Author
[GitHub Profile](https://github.com/theadhithyankr)