• DocumentCode
    3757345
  • Title

    Tibetan Sentence Sentiment Analysis Based on the Maximum Entropy Model

  • Author

    Xiaodong Yan;Tao Huang

  • Author_Institution
    Sch. of Inf. Eng., Minzu Univ. of China, Beijing, China
  • fYear
    2015
  • Firstpage
    594
  • Lastpage
    597
  • Abstract
    In this paper, the Tibetan sentence sentiment analysis is done by learning from the Chinese and English sentiment analysis based on statistical method. We established the Tibetan sentence sentiment analysis system based on the maximum entropy model, and we test this system. Results show that the evaluation parameter is good and it can achieve practicability to some extent.
  • Keywords
    "Entropy","Sentiment analysis","Analytical models","Training","Feature extraction","Dictionaries","Computational modeling"
  • Publisher
    ieee
  • Conference_Titel
    Broadband and Wireless Computing, Communication and Applications (BWCCA), 2015 10th International Conference on
  • Type

    conf

  • DOI
    10.1109/BWCCA.2015.32
  • Filename
    7424897
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3757345