摘要
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.
原文 | 英語 |
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主出版物標題 | Proceedings of the 2016 International Conference on Asian Language Processing, IALP 2016 |
發行者 | Institute of Electrical and Electronics Engineers Inc. |
頁面 | 297-299 |
頁數 | 3 |
ISBN(電子) | 9781509009213 |
DOIs | |
出版狀態 | 已發佈 - 3月 10 2017 |
對外發佈 | 是 |
事件 | 20th International Conference on Asian Language Processing, IALP 2016 - Tainan, 臺灣 持續時間: 11月 21 2016 → 11月 23 2016 |
會議
會議 | 20th International Conference on Asian Language Processing, IALP 2016 |
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國家/地區 | 臺灣 |
城市 | Tainan |
期間 | 11/21/16 → 11/23/16 |
ASJC Scopus subject areas
- 訊號處理
- 電腦視覺和模式識別
- 語言和語言學
- 人工智慧