• DocumentCode
    3103158
  • Title

    IoT solutions for 3-D visualization of Twitter data

  • Author

    Sharma, Aman ; Rani, Rinkle

  • Author_Institution
    Dept. of Comput. Sc. & Eng., Thapar Univ., Patiala, India
  • fYear
    2015
  • fDate
    12-13 June 2015
  • Firstpage
    839
  • Lastpage
    843
  • Abstract
    The Internet of Things (IoT) is a booming terminology that is used nowadays. It is interconnection of various objects such as RFID(radio frequency identifications), actuators, smart devices, sensors over an Internet. It is a interdisciplinary approach to study computing devices and their behavior. A lot of research is going on (IoT) devices to gain the intrinsic potential from them. Over the last few years, we have seen great efforts from industry and academia to provide IoT solutions and develop customer oriented market for IOT devices. In this paper, we will examine the various IoT solutions for twitter data visualization and analysis. Twitter being a popular social networking site always gives researchers a scope for innovation. A wide variety of solutions have been proposed for 3-D visualization of twitter data, but “Twitter Mood Light” is popular among all.
  • Keywords
    Internet of Things; data visualisation; social networking (online); 3D visualization; IOT devices; Internet of Things; RFID; Twitter data analysis; Twitter data visualization; actuators; customer oriented market development; radio frequency identifications; sensors; smart devices; social networking site; Computers; Data analysis; Data visualization; Libraries; Mood; Twitter; Arduino; IoT; Social analysis; Twitter; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advance Computing Conference (IACC), 2015 IEEE International
  • Conference_Location
    Banglore
  • Print_ISBN
    978-1-4799-8046-8
  • Type

    conf

  • DOI
    10.1109/IADCC.2015.7154824
  • Filename
    7154824