Emotion recognition from textual input using an emotional semantic network

Ze Jing Chuang, Chung Hsien Wu

研究成果: Paper同行評審

22 引文 斯高帕斯(Scopus)

摘要

This paper presents an emotion recognition system with textual input. In this system, an emotional semantic network is proposed to extract the semantic information related to emotion. The semantic network is composed of two subnetworks: a static semantic network and a dynamic semantic network. The static semantic network is established from an existing Chinese knowledge base called HowNet and used to estimate the emotion trigger value of each word. The dynamic semantic network accepts the textual input and dynamically constructs the nodes and links, which represent the emotion carrier and the emotion propagator respectively. Initiated by the emotion trigger value, the emotion in the dynamic semantic network will propagate and finally converge to the final emotion output. Experimental results show an encouraging achievement was obtained.

原文English
頁面2033-2036
頁數4
出版狀態Published - 2002
事件7th International Conference on Spoken Language Processing, ICSLP 2002 - Denver, United States
持續時間: 2002 9月 162002 9月 20

Other

Other7th International Conference on Spoken Language Processing, ICSLP 2002
國家/地區United States
城市Denver
期間02-09-1602-09-20

All Science Journal Classification (ASJC) codes

  • 語言與語言學
  • 語言和語言學

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