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 1 month 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 (about 2 years ago)
• Default Branch: master
• Last Pushed: 2023-08-07T02:23:17.000Z (over 1 year ago)
• Last Synced: 2023-08-07T03:25:55.706Z (over 1 year ago)
• Topics: classification, nextjs, reactjs, sentiment-analysis, support-vector-machine, svm-classifier
• Language: TypeScript
• Homepage: https://sentext.vercel.app
• Size: 3.25 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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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.

![Sentext](public/sentext.png)

## 🖥️ 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