@inproceedings{151935385bdc4dd3ad1e59d9ccd0b974,
title = "Overview of the IALP 2016 shared task on Dimensional Sentiment Analysis for Chinese Words",
abstract = "This paper presents the IALP 2016 shared task on Dimensional Sentiment Analysis for Chinese Words (DSAW) which seeks to identify a real-value sentiment score of Chinese words in the both valence and arousal dimensions. Valence represents the degree of pleasant and unpleasant (or positive and negative) feelings, and arousal represents the degree of excitement and calm. Of the 22 teams registered for this shared task for two-dimensional sentiment analysis, 16 submitted results. We expected that this evaluation campaign could produce more advanced dimensional sentiment analysis techniques, especially for Chinese affective computing. All data sets with gold standards and scoring script are made publicly available to researchers.",
keywords = "affective computing, dimensional sentiment analysis, valence-Arousal space",
author = "Yu, {Liang Chih} and Lee, {Lung Hao} and Wong, {Kam Fai}",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 20th International Conference on Asian Language Processing, IALP 2016 ; Conference date: 21-11-2016 Through 23-11-2016",
year = "2017",
month = mar,
day = "10",
doi = "10.1109/IALP.2016.7875957",
language = "???core.languages.en_GB???",
series = "Proceedings of the 2016 International Conference on Asian Language Processing, IALP 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "156--160",
editor = "Minghui Dong and Chung-Hsien Wu and Yanfeng Lu and Haizhou Li and Yuen-Hsien Tseng and Liang-Chih Yu and Lung-Hao Lee",
booktitle = "Proceedings of the 2016 International Conference on Asian Language Processing, IALP 2016",
}