Optimization of Feature-Opinion Pairs in Chinese Customer Reviews

被引：0
|
作者：
Huang, Yongwen [1 ]
He, Zhongshi [1 ]
Wang, Haiyan [2 ]
机构：
[1] Chongqing Univ, Coll Comp Sci, Chongqing 400044, Peoples R China
[2] Sichuan Fine Arts Inst, Art Hist Dept, Chongqing 400044, Peoples R China
来源：
NEXT-GENERATION APPLIED INTELLIGENCE, PROCEEDINGS | 2009年 / 5579卷
关键词：
Customer reviews; Reviews mining; Bootstrapping; Harmonic-mean;
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：
Customer reviews mining can urge manufacturers to improve product quality and guide people a rational consumption. The commonly used mining methods are not satisfactory in precision of the features and opinions extracting. In this paper, we extracted the product features and opinion words in a unified process with semi-supervised learning algorithm, and made an adjustment of the threshold value of confidence to obtain a better mining performance, then adjusted the features sequence with big standard deviation, and maximized the harmonic-mean to raise the precision while ensured the recall. The experiment results show that our techniques are very effective.
引用
下载
收藏
页码：747 / +
页数：2
相关论文
共 50 条
  • [41] A frequent pattern mining algorithm for feature extraction of customer reviews
    Ibrahim, R., 1600, International Journal of Computer Science Issues (IJCSI) (09): : 4 - 1
  • [42] A New Feature Selection Method for Text Categorization of Customer Reviews
    Liu, Miao
    Lu, Xiaoling
    Song, Jie
    COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2016, 45 (04) : 1397 - 1409
  • [43] Feature extraction from customer reviews using enhanced rules
    Santhiran, Rajeswary
    Varathan, Kasturi Dewi
    Chiam, Yin Kia
    PEERJ COMPUTER SCIENCE, 2024, 10
  • [44] Research on Product Feature Extraction for Chinese Reviews
    Wei, Guiying
    Cai, Wenming
    Qin, Lan
    2016 INTERNATIONAL CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCES (LISS' 2016), 2016,
  • [45] AN UNSUPERVISED APPROACH TO MINE CUSTOMER OPINION ON PRODUCTS OR SERVICES AND TO RANK THE CUSTOMER REVIEWS BASED ON ITS FEATURES
    Kumar, Ravi, V
    Raghuveer, K.
    Anup
    FOURTH INTERNATIONAL CONFERENCE ON COMPUTER AND ELECTRICAL ENGINEERING (ICCEE 2011), 2011, : 87 - +
  • [46] Identifying Significant Customer Opinion Information of Each Aspect from Hotel Reviews
    Polpinij, Jantima
    Saisangchan, Umaporn
    Vorakitphan, Vorakit
    Luaphol, Bancha
    2022 19TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (JCSSE 2022), 2022,
  • [47] Ranking Analysis for Online Customer Reviews of Products Using Opinion Mining with Clustering
    Lakshmanaprabu, S. K.
    Shankar, K.
    Gupta, Deepak
    Khanna, Ashish
    Rodrigues, Joel J. P. C.
    Pinheiro, Placido R.
    de Albuquerque, Victor Hugo C.
    COMPLEXITY, 2018,
  • [48] Automatic extraction of features and Opinion-oriented sentences from customer reviews
    Khan, Khairullah
    Baharudin, Baharum B.
    Khan, Aurangzeb
    FazaleMalik
    World Academy of Science, Engineering and Technology, 2010, 62 : 457 - 461
  • [49] Extracting Product Features and Opinion Words Using Pattern Knowledge in Customer Reviews
    Htay, Su Su
    Lynn, Khin Thidar
    SCIENTIFIC WORLD JOURNAL, 2013,
  • [50] Automatic extraction of features and opinion-oriented sentences from customer reviews
    Khan, Khairullah
    Baharudin, Baharum B.
    Khan, Aurangzeb
    Fazal-e-Malik
    World Academy of Science, Engineering and Technology, 2010, 38 : 457 - 461
12345