• DocumentCode
    707361
  • Title

    Tactics of twitter data extraction for opinion mining

  • Author

    Chatterjee, Ram ; Goyal, Monika

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Manav Rachna Coll. of Eng., Faridabad, India
  • fYear
    2015
  • fDate
    11-13 March 2015
  • Firstpage
    761
  • Lastpage
    766
  • Abstract
    Opinion mining deals with the determination of people´s sentiments over the social web as positive, negative or neutral. Microblogs such as twitter serves as a rich source for opinion mining and sentiment analysis as opinions are shared by millions of users. In our paper, we have analyzed the various methods available through which the twitter data can be extracted. We have provided an overall picture of how each method is different from another for extracting tweets. We have chosen Windows 10 as a keyword to compare the opinions as extracted by different sentiment tools.
  • Keywords
    data mining; information retrieval; social networking (online); Microblogs; Twitter data extraction; opinion mining; people sentiment determination; social Web; Blogs; Cameras; Data mining; Media; Programming; Sentiment analysis; Twitter; APIs; Opinion Mining; Sentiment; Tweet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-9-3805-4415-1
  • Type

    conf

  • Filename
    7100351