• DocumentCode
    668832
  • Title

    Research on micro-blog sentiment orientation analysis based on improved dependency parsing

  • Author

    Guo Fu-Liang ; Zhou Gang

  • Author_Institution
    Coll. of Electron. Eng., Naval Univ. of Eng., Wuhan, China
  • fYear
    2013
  • fDate
    20-22 Nov. 2013
  • Firstpage
    546
  • Lastpage
    550
  • Abstract
    Micro-blog sentiment orientation analysis´s important signification is analyzed firstly, and then proposes a new Improved Dependency Parsing to analyze micro-blog sentiment orientation on the base of analyzing the peculiarity of micro-blog texts. This improved algorithm includes the sentiment orientation analysis of emoticons and punctuation, and analyze sentiment orientation base on the distance to the kernel emotional words in syntax structure. Experimentations show the algorithm has the good applicability and robustness.
  • Keywords
    text analysis; emoticons; improved dependency parsing; kernel emotional words; microblog sentiment orientation analysis; microblog texts; punctuation; syntax structure; Accuracy; Algorithm design and analysis; Dictionaries; Grammar; Internet; Syntactics; Micro-blog; dependency parsing; kernel emotional words; sentiment orientation analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference on
  • Conference_Location
    Xianning
  • Print_ISBN
    978-1-4799-2859-0
  • Type

    conf

  • DOI
    10.1109/CECNet.2013.6703390
  • Filename
    6703390