摘要
In this paper, we propose a flexible principle-based approach (PBA) for reader-emotion classification and writing assistance. PBA is a highly automated process that learns emotion templates from raw texts to characterize an emotion and is comprehensible for humans. These templates are adopted to predict reader-emotion, and may further assist in emotional resonance writing. Results demonstrate that PBA can effectively detect reader-emotions by exploiting the syntactic structures and semantic associations in the context, thus outperforming wellknown statistical text classification methods and the state-of-the-art reader-emotion classification method. Moreover, writers are able to create more emotional resonance in articles under the assistance of the generated emotion templates. These templates have been proven to be highly interpretable, which is an attribute that is difficult to accomplish in traditional statistical methods.
| 原文 | 英語 |
|---|---|
| 主出版物標題 | ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference |
| 發行者 | Association for Computational Linguistics (ACL) |
| 頁面 | 775-780 |
| 頁數 | 6 |
| 卷 | 2 |
| ISBN（電子） | 9781941643730 |
| 出版狀態 | 已發佈 - 2015 |
| 對外發佈 | 是 |
| 事件 | 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL-IJCNLP 2015 - Beijing, 中国 持續時間: 7月 26 2015 → 7月 31 2015 |
會議
| 會議 | 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL-IJCNLP 2015 |
|---|---|
| 國家/地區 | 中国 |
| 城市 | Beijing |
| 期間 | 7/26/15 → 7/31/15 |
ASJC Scopus subject areas
- 人工智慧
- 軟體
- 語言與語言學
- 語言和語言學