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
- python>=3
- xampp
- MySQL python connecter
- PHP 7.2.28
- 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!
- Signup in Heroku
- Install Heroku CLI
- Go to the Annotation_system folder
- 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