Emotional Vector Distance Based Sentiment Analysis of Wakamono Kotoba

被引：0
|
作者：
Matsumoto, Kazuyuki [1 ]
Kita, Kenji
Ren Fuji [1 ]
机构：
[1] Univ Tokushima, Fac Engn, Tokushima 7708506, Japan
来源：
CHINA COMMUNICATIONS | 2012年 / 9卷 / 03期
关键词：
Wakamono Kotoba; sentiment analysis; emotion estimation; EMD;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this paper, we propose a method for estimating emotion in Wakamono Kotoba that were not registered in the system, by using Wakamono Kotoba example sentences as features. The proposed method applies Earth Mover's Distance (EMD) to vector of words. As a result of the evaluation experiment using 14 440 sentences, higher estimation accuracy is obtained by considering emotional distance between words - an approach that had not been used in the conventional research - than by using only word importance value.
引用
收藏
页码：87 / 98
页数：12
相关论文
共 50 条
  • [1] A New Emotional Vector Representation for Sentiment Analysis
    Ameur, Hanen
    Jamoussi, Salma
    Ben Hamadou, Abdelmajid
    COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING, (CICLING 2016), PT II, 2018, 9624 : 258 - 269
  • [2] Microblogging Sentiment Analysis Using Emotional Vector
    Zhang, Lumin
    Jia, Yan
    Zhou, Bin
    Han, Yi
    SECOND INTERNATIONAL CONFERENCE ON CLOUD AND GREEN COMPUTING / SECOND INTERNATIONAL CONFERENCE ON SOCIAL COMPUTING AND ITS APPLICATIONS (CGC/SCA 2012), 2012, : 430 - 433
  • [3] A sentiment orientation analysis method based on emotional vocabulary
    Ju, Chunhua
    Ma, Yinping
    Fu, Xiaokang
    Journal of Computational Information Systems, 2015, 11 (05): : 1745 - 1755
  • [4] Sentiment lexicon enrichment using emotional vector representation
    Ameur, Hanen
    Jamoussi, Salma
    Ben Hamadou, Abdelmajid
    2017 IEEE/ACS 14TH INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS (AICCSA), 2017, : 951 - 958
  • [5] The Chinese microblog emotional tendency analysis based on sentiment dictionary
    Tan, Chengfang
    MEASUREMENT TECHNOLOGY AND ENGINEERING RESEARCHES IN INDUSTRY, PTS 1-3, 2013, 333-335 : 795 - 798
  • [6] Microblog Comments Sentiment Analysis Based on Extended Emotional Lexicon
    Wang, Xu-ming
    Zuo, Wan-li
    Wang, Ying
    Zuo, Xiang-lin
    INFORMATION COMPUTING AND APPLICATIONS, ICICA 2013, PT I, 2013, 391 : 385 - 397
  • [7] Study on the Emotional Image of Calligraphy Strokes based on Sentiment Analysis
    Pan, Yingying
    Lyu, Ruimin
    Nie, Qinyan
    Meng, Lei
    2020 5TH INTERNATIONAL CONFERENCE ON COMMUNICATION, IMAGE AND SIGNAL PROCESSING (CCISP 2020), 2020, : 256 - 261
  • [8] Vector based sentiment and emotion analysis from text: A survey
    Aka Uymaz, Hande
    Kumova Metin, Senem
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2022, 113
  • [9] Sentiment Analysis Based on Support Vector Machine and Big Data
    Povoda, Lukas
    Burget, Radim
    Dutta, Malay Kishore
    2016 39TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP), 2016, : 543 - 545
  • [10] Hotel Reviews Sentiment Analysis Based on Word Vector Clustering
    Zhang, Xiaobo
    Yu, Qingsong
    2017 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (ICCIA), 2017, : 260 - 264
12345