Data Annotaion System for valence-arousal-irony

Introduction

This library implements Data Annotation System website used in paper to annotate three dimensional of sentiment

A Dimensional Valence-Arousal-Irony Dataset for Chinese Sentence and Context
Sheng-Wei Huang, Wei-Yi Chung, Yu-Hsuan Wu, et.al
In Proceedings of the 34rd Conference on Computational Linguistics and Speech Processing, 2022

Related demo sites

Launch Xampp App
Go to Gerneral page and press start
Go to Services page and press start all
Go to Network page and press enable
Go to Volumns page and press Mount
Press Explore button
Move this Annotation_system Under /htdocs/ or var/www/html/(For Linux Server)
Enter this link in your browser : http://localhost:8080/phpmyadmin/ *Change port to which you start Apach server
Create an empty Database named "VAI"
Back to the Annotation_system folder and execute:

cd sql_processing
python ./sql_processing.py

Enter this link in your browser : http://localhost:8080/annotation_system/ *Change port to which you start Apach server
All done!

If you want to deploy on heroku, you can follow these steps!

$ touch composer.json
$ vim composer.json

write these in composer.json
{
"require": {
"php": "7.2.28"
}
}

$ heroku create Project Name(Annotation_system)
$ git init
$ heroku git:remote -a Project Name(Annotation_system)

Then, Create "Procfile" with no filename extension, and it should look like this:

web: heroku-php-apache2

And then, uncomment out the first three lines in index.php

$ composer update
$ git add .
$ git commit -m 'v0.1'
$ git push heroku master
$ heroku open