• DocumentCode
    3652050
  • Title

    Target-oriented opinion mining from tweets

  • Author

    Viktor Hangya;Richard Farkas

  • Author_Institution
    Dept. of Inf., Univ. of Szeged, Szeged, Hungary
  • fYear
    2013
  • Firstpage
    251
  • Lastpage
    254
  • Abstract
    People express their opinion about many things like products, political parties, ideas using the facilities of social media. The analysis of these opinions is a gold mine for marketing experts and for humanities research as well. We introduce a system for opinion mining from the textual content of tweets and discuss the differences between tweet-level and target-oriented opinion mining.
  • Keywords
    "Accuracy","Databases","Terminology","Conferences","Media","Sensitivity","Educational institutions"
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Infocommunications (CogInfoCom), 2013 IEEE 4th International Conference on
  • Print_ISBN
    978-1-4799-1543-9
  • Type

    conf

  • DOI
    10.1109/CogInfoCom.2013.6719251
  • Filename
    6719251
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3652050