A semantic analyzer for aiding emotion recognition in Chinese

被引：0
|
作者：
Yan, Jiajun
Bracewell, David B.
Ren, Fuji
Kuroiwa, Shingo
机构：
[1] Univ Tokushima, Dept Informat Sci & Intelligent Syst, Fac Engn, Tokushima 7708506, Japan
[2] Beijing Univ Posts & Telecommun, Sch Informat Engn, Beijing 100876, Peoples R China
来源：
COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS | 2006年 / 4114卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we present a semantic analyzer for aiding emotion recognition in Chinese. The analyzer uses a decision tree to assign semantic dependency relations between headwords and modifiers. It is able to achieve an accuracy of 83.5%. The semantic information is combined with rules for Chinese verbs containing emotion to describe the emotion of the people in the sentence. The rules give information on how to assign emotion to agents, receivers, etc. depending on the verb in the sentence.
引用
收藏
页码：893 / 901
页数：9
相关论文
共 50 条
  • [41] Manually Crafted Chinese Text Corpus for Text Emotion Recognition
    Gao, Bo
    Zhang, Fan
    2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN, 2023,
  • [42] Cross-language speech emotion recognition in German and Chinese
    School of Information Science and Engineering, Southeast University, No. 2, Si Pai Lou, Nanjing 210096, China
    不详
    不详
    Huang, C. (Huang.Chengwei1@gmail.com), 2012, ICIC Express Letters Office, Tokai University, Kumamoto Campus, 9-1-1, Toroku, Kumamoto, 862-8652, Japan (06):
  • [43] Cross-language speech emotion recognition in German and Chinese
    Huang, Chengwei
    Han, Dong
    Bao, Yongqiang
    Yu, Hua
    Zhao, Li
    ICIC Express Letters, 2012, 6 (08): : 2141 - 2146
  • [44] Recognition of facial expressions of emotion by Chinese adults with mental retardation
    Leung, JP
    Singh, NN
    BEHAVIOR MODIFICATION, 1998, 22 (02) : 205 - 216
  • [45] Effects of sad mood on facial emotion recognition in Chinese people
    Lee, Tatia M. C.
    Ng, Emily H. H.
    Tang, S. W.
    Chan, Chetwyn C. H.
    PSYCHIATRY RESEARCH, 2008, 159 (1-2) : 37 - 43
  • [46] Semi-automatic emotion recognition from Chinese text
    Zhang, Yu
    Ren, Fuji
    Kuroiwa, Shingo
    PROCEEDINGS OF THE NINTH IASTED INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND CONTROL, 2006, : 113 - +
  • [47] The Fuzzy Emotion Recognition Framework Using Semantic-Linguistic Facial Features
    Liliana, Dewi Yanti
    Basaruddin, T.
    PROCEEDINGS OF 2019 IEEE R10 HUMANITARIAN TECHNOLOGY CONFERENCE (IEEE R10 HTC 2019), 2019, : 263 - 268
  • [48] Semantic-wise guidance for efficient multimodal emotion recognition with missing modalities
    Liu, Shuhua
    Wang, Yixuan
    Wang, Kehan
    Li, Binshuai
    Yang, Fengqin
    Yang, Shihao
    MULTIMEDIA SYSTEMS, 2024, 30 (03)
  • [49] Bridging the semantic gap in multimedia emotion/mood recognition for ubiquitous computing environment
    Seungmin Rho
    Sang-Soo Yeo
    The Journal of Supercomputing, 2013, 65 : 274 - 286
  • [50] Bridging the semantic gap in multimedia emotion/mood recognition for ubiquitous computing environment
    Rho, Seungmin
    Yeo, Sang-Soo
    JOURNAL OF SUPERCOMPUTING, 2013, 65 (01): : 274 - 286
12345