Sentiment Analyzer Backend using SSVM
It is an implimentation of sentiment analyzer using ssvm. It is inspired from 'Sentimental' which is in javascript Main advantage here is that the actual logic is based on rust which is faster and the api is exposed with express which makes it simple to impliment.
Example Usage:
/GET http://127.0.0.1:3000/?phrase="I am happy"
//Score: 3, Comparative: 1
TODO:
- Senitiment Analyzer logic.
-
File analysis
- API
- Rust logic(Facing issue with Rexiv2 with SSVM)
- Make logic of Analyzer more refined.
- Frontend to wrap it.
Getting started with SSVM
Fork this project to create your own Rust functions in Node.js. Learn more
- The Rust functions are in the
src
directory. You can put high performance workload into Rust functions. - The JavaScript functions are in the
node
directory and they can access the Rust functions. - Use the
node node/app.js
command to run the application in Node.js.