Open AccessQuerying Social Media to Track People’s Movements and Discussions Via a Browser Interface
Author(s) -
Hanan A. Tahir,
Hoger Mahmud
Publication year - 2020
Publication title -
academic journal of nawroz university
Language(s) - English
Resource type - Journals
ISSN - 2520-789X
DOI - 10.25007/ajnu.v9n3a743
Subject(s) - world wide web , computer science , social media , event (particle physics) , track (disk drive) , set (abstract data type) , interface (matter) , product (mathematics) , information retrieval , data science , physics , geometry , mathematics , bubble , quantum mechanics , maximum bubble pressure method , parallel computing , programming language , operating system
Social networking is micro-blogging site where users post short text-based messages. These messages often relate to a particular topic, event or product and are frequently coupled with the authors’ opinion. This information provides an exciting opportunity for individuals and companies who might benefit from being able to collate and analyze the data to discover opinion on an item of interest. This paper reports on the outcome of a project that aims to produce a web page that queries the social Web (specifically Twitter.com and Foursquare.com.) through the available APIs to track people’s movements and the topic of their discussions. Tweets will be the main data source and queries results will be ranked and sorted out by total frequency in a Web accessible MySQL database. The result shows that the system has been successful in achieving the set aims.