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
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;
Conference_Titel :
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location :
Banglore
Print_ISBN :
978-1-4799-8046-8
DOI :
10.1109/IADCC.2015.7154824
