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.
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Clone this repo
https://github.com/Ikram-Maulana/sentiment-analysis-simulation.git
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Install dependencies
yarn install
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Add your
PUBLIC_API_API_URL
to your.env.local
file with your API backend URL as the value.PUBLIC_API_API_URL=...
-
Run the development server
yarn dev
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Open http://localhost:3000 with your browser to see the result.
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Clone this repo
https://github.com/Ikram-Maulana/sentiment-analysis-simulation.git
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Configure project with Vercel
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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. -
Do final deploy with Vercel
- Ikram Maulana as Full Stack Web Developer and Machine Learning Engineer