A Framework of Utilizing Big Data of Social Media to Find Out the Habits of Users Using Keyword
Arif Ridho Lubis, Mahyuddin K. M. Nasution, Opim Salim Sitompul, Elviawaty Muisa Zamzami
Abstract
Optimal search in search engines is very urgent, especially search performs on social media search engine. Very big data in social media have not been not used as many as expected, making the existed data are only limited to the data themselves. However, using keywords on social media search engines could only produces incomplete and inaccurate data thereby the search results only have limited usage. This paper contains a framework using keywords in social media search engines that aims to gain users' habits by utilizing social media data. The framework offered is in the form of steps to optimize the search engines, so that the optimal social media search engine could be used as an entry point to find the desired data on specific social media user. The step is initialized by analyzing existing posts to get more specific and accurate data from social media users. The social media system then could use those specific keywords to identify the identity of a specific user in the information space that can be accessed by the search engines.