emotion-chat

Implementation for a paper,
"Automated Font Selection System based on Message Sentiment in English Text-Based Chat"
Font data and trained model are excluded in this repository.

Components

.  
├── api         --- api and notebooks for VAD training and prediction  
├── scripts     --- scripts for download, etc  
└── webapp      --- firebase application for chat  

API

• Environment

  • python3.6
  • pytorch(aws deeplearning ami,pytorch_p36)
  • falcon, gunicorn

• Corpus setting

  • http://nlp.stanford.edu/data/glove.840B.300d.zip
  • python ./api/transform.py
    • put stanford_glove.txt in api/analysis/
    • convert glove to word2vec

• Start server gunicorn api:api -t 1000

  • You may have to set timeout option -t since it would be a long time.

• Send requests periodically so that a server doesn't sleep.

  • register crontab req.conf
  • remove crontab -r
  • reference http://staffblog.amelieff.jp/entry/2018/07/06/150851

webapp

This webapp is based on firebase.

• cd webapp/webapp
• Run in local firebase serve
• Deploy firebase deploy

Reference

• Paper

  • Ryota Yonekura, Saemi Choi, Ryota Yoshihashi, Katsufumi Matsui and Ari Hautasaari, “Automated Font Selection System based on Message Sentiment in English Text-Based Chat”, IEICE Technical Report, vol. 118, no. 502, IMQ2018-45, IE2018-129, MVE2018-76, pp. 131-136, March 2019

• EmoBank

  • https://github.com/JULIELab/EmoBank
  • Sven Buechel and Udo Hahn. 2017. EmoBank: Studying the Impact of Annotation Perspective and Representation Format on Dimensional Emotion Analysis. In EACL 2017 - Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics. Valencia, Spain, April 3-7, 2017. Volume 2, Short Papers, pages 578-585. Available: http://aclweb.org/anthology/E17-2092
  • Sven Buechel and Udo Hahn. 2017. Readers vs. writers vs. texts: Coping with different perspectives of text understanding in emotion annotation. In LAW 2017 - Proceedings of the 11th Linguistic Annotation Workshop @ EACL 2017. Valencia, Spain, April 3, 2017, pages 1-12. Available: https://sigann.github.io/LAW-XI-2017/papers/LAW01.pdf

• FriendlyChatapp

  • https://codelabs.developers.google.com/codelabs/firebase-web/#0
  • https://github.com/firebase/friendlychat-web