• DocumentCode
    1700413
  • Title

    Get Twitter information: A collaborative Android application for big data analysis

  • Author

    Kaur, Harneet ; Talluri, Manasvi ; Jing He

  • Author_Institution
    Comput. Sci., Kennesaw State Univ., Kennesaw, GA, USA
  • fYear
    2015
  • Firstpage
    483
  • Lastpage
    484
  • Abstract
    Data analysis is considered as a prevalent as well as critical business need due to the blowup of big data and advent of cloud computing platform. Mobile applications consume huge amount of data gathered from heterogeneous big data repositories and provide us with meaningful insights from it. These applications include business finance, investment and social networks etc. Social data analysis is one of the very important area where big data plays a crucial role. Therefore, we collaboratively analyzed the social data and used it to develop an android mobile application called Get Tweet Information (GTI) to extract tweets from the Twitter using Twitter API. This application initially asks the user for the search keyword and then it analyse the whole Twitter database to find all the tweets that contains input keyword. Along with the tweets, the user can also get additional information including the username of the person who posted the tweet, timestamp, count of retweets for a particular tweet, location, description and timeline of the user who posted the tweet.
  • Keywords
    Big Data; application program interfaces; cloud computing; data analysis; mobile computing; social networking (online); Android mobile application; Big Data analysis; GTI; Get Tweet Information; Get Twitter Information; Twitter API; Twitter database; cloud computing platform; collaborative Android application; heterogeneous Big Data repositories; keyword search; mobile applications; social data analysis; tweet extraction; Androids; Big data; Data mining; Humanoid robots; Java; Twitter; Android Mobile application; Big Data Analysis; Social Networks; Twitter API;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Collaboration Technologies and Systems (CTS), 2015 International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4673-7647-1
  • Type

    conf

  • DOI
    10.1109/CTS.2015.7210475
  • Filename
    7210475