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

• Annotation

Require

• python>=3
• xampp
• MySQL python connecter
• PHP 7.2.28

Start Up

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

cd sql_processing
python ./sql_processing.py

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

Deploy on Heroku

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

1. Signup in Heroku
   
2. Install Heroku CLI
   
3. Go to the Annotation_system folder
   
4. execute
   

$ 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