https://github.com/ikram-maulana/sentiment-analysis-simulation
😊😐😠 A Next.js website that serves as a tool to simulate the sentiment and aspect classification process using the Support Vector Machine (SVM) algorithm
https://github.com/ikram-maulana/sentiment-analysis-simulation
classification nextjs reactjs sentiment-analysis support-vector-machine svm-classifier
Last synced: about 2 months ago
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😊😐😠 A Next.js website that serves as a tool to simulate the sentiment and aspect classification process using the Support Vector Machine (SVM) algorithm
- Host: GitHub
- URL: https://github.com/ikram-maulana/sentiment-analysis-simulation
- Owner: Ikram-Maulana
- Created: 2022-12-14T07:37:53.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2023-08-07T02:23:17.000Z (almost 3 years ago)
- Last Synced: 2025-09-07T15:43:26.278Z (10 months ago)
- Topics: classification, nextjs, reactjs, sentiment-analysis, support-vector-machine, svm-classifier
- Language: TypeScript
- Homepage: https://sentext.vercel.app
- Size: 3.25 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Sentiment Analysis Simulation
This is Next.js website that serves as a tool to simulate the sentiment and aspect classification process of a review text using Support Vector Machine (SVM) algorithm.
Live example hosted on Vercel: https://sentext.vercel.app/
Backend API hosted on railway: **_currently unavailable because limit of railway free tier_**
NOTE: The backend API project is private because it contains the algorithm code and the dataset used to train the algorithm.
## 🖥️ Running Locally
1. Clone this repo
```bash
https://github.com/Ikram-Maulana/sentiment-analysis-simulation.git
```
2. Install dependencies
```bash
yarn install
```
3. Add your `PUBLIC_API_API_URL` to your `.env.local` file with your API backend URL as the value.
```bash
PUBLIC_API_API_URL=...
```
4. Run the development server
```bash
yarn dev
```
5. Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
## 🚀 Deploy Your Own
1. Clone this repo
```bash
https://github.com/Ikram-Maulana/sentiment-analysis-simulation.git
```
2. Configure project with [Vercel](https://vercel.com)
3. Add your own backend API with your own algorithm to your [Vercel Project Environment Variables] (https://vercel.com/docs/environment-variables) with `PUBLIC_API_API_URL` as the key and your API URL as the value.
4. Do final deploy with Vercel
## 🧑💻 Credit
- [Ikram Maulana](https://github.com/ikram-maulana) as Full Stack Web Developer and Machine Learning Engineer