Text mining analytics of social media stream and search engine for cancer related disease /

With the rapid development of information and communication technology, seeking information over the internet has been time efficient and easily available regardless of time and place. The vast availability of variety of information on the internet can become a daily routine for the people in this d...

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Bibliographic Details
Main Author: Nurliyana binte Saleh
Format: Thesis
Language:English
Published: Kuala Lumpur : Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, 2015
Subjects:
Online Access:Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library.
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040 |a UIAM  |b eng 
041 |a eng 
043 |a a-my--- 
050 0 0 |a QA76.9.D343 
100 0 |a Nurliyana binte Saleh 
245 1 |a Text mining analytics of social media stream and search engine for cancer related disease /  |c by Nurliyana binti Saleh 
260 |a Kuala Lumpur :  |b Kulliyyah of Information and Communication Technology, International Islamic University Malaysia,  |c 2015 
300 |a xiii, 98 leaves :  |b ill. ;  |c 30cm. 
502 |a Thesis (MIT)--International Islamic University Malaysia, 2015. 
504 |a Includes bibliographical references (leaves 81-87). 
520 |a With the rapid development of information and communication technology, seeking information over the internet has been time efficient and easily available regardless of time and place. The vast availability of variety of information on the internet can become a daily routine for the people in this digital age to search for information. The channels that provide information through internet have improvised and grown broader. Previously, people search information through search engine but nowadays, social media has been the upcoming trend for people to search for information too. The ubiquity of internet and availability of information has caused people to acquire information about health easily for their respective purposes. In this study, examination of information seeking behaviour between search engine and social media for cancer related disease will be conducted. Also, to analyse if there is any difference between developing and developed countries information seeking behaviour on cancer related disease. Text mining and content analysis methods are used to analyse the information seeking behaviour about cancer related disease. The findings show that the development of the country influences the information seeking behaviour of the users. The country's infrastructure, economy and level of education plays an important role in the information which is sought by the users about the cancer related disease. 
596 |a 1 
655 7 |a Theses, IIUM local 
690 |a Dissertations, Academic  |x Department of Information systems  |z IIUM 
710 2 |a International Islamic University Malaysia.  |b Department of Information systems 
856 4 |u https://lib.iium.edu.my/mom/services/mom/document/getFile/Z3Zih6gN08yP187CIWz83UeDvw9MEqjr20160526143935487  |z Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. 
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