@inproceedings{007963b6aced4d3ba5f099e5504d962a,
title = "IASL valence-Arousal analysis system at IALP 2016 shared task: Dimensional sentiment analysis for Chinese words",
abstract = "Sentiment lexicons with valence-Arousal ratings are useful resources for the development of dimensional sentiment applications. In order to solve the significant lack of Chinese valence and arousal lexicons, the objective of the DSAW is to automatically acquire the valence-Arousal ratings of Chinese affective words. In this task, we develop a novel approach that integrate word embeddings into a graph-based model with K-Nearest Neighbor to identify both valence and arousal dimensions. We also propose to use character embeddings to represent unseen words, which is a major challenge in collecting large corpora. The evaluation results demonstrate that our system is effective in dimensional sentiment analysis for Chinese words with 0.847 and 1.281 mean absolute error (MAE) for valence and arousal respectively.",
author = "Hsieh, {Yu Lun} and Wang, {Chen Ann} and Wu, {Ying Wei} and Chang, {Yung Chun} and Hsu, {Wen Lian}",
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.2016.7875990",
language = "English",
series = "Proceedings of the 2016 International Conference on Asian Language Processing, IALP 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "297--299",
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",
address = "United States",
}