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
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;
Conference_Titel :
Collaboration Technologies and Systems (CTS), 2015 International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4673-7647-1
DOI :
10.1109/CTS.2015.7210475