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

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dc.contributor.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#en_US
dc.contributor.authorNurliyana binti Salehen_US
dc.date.accessioned2024-10-08T07:41:33Z
dc.date.available2024-10-08T07:41:33Z
dc.date.issued2015
dc.description.abstractWith 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.en_US
dc.description.callnumbert QA 76.9 D343 N974T 2015en_US
dc.description.degreelevelMaster
dc.description.identifierThesis : Text mining analytics of social media stream and search engine for cancer related disease /by Nurliyana binti Salehen_US
dc.description.identityt11100344029NurliyanaSalehen_US
dc.description.kulliyahKulliyyah of Information and Communication Technologyen_US
dc.description.notesThesis (MIT)--International Islamic University Malaysia, 2015.en_US
dc.description.physicaldescriptionxiii, 98 leaves :ill. ;30cm.en_US
dc.description.programmeMaster of Information Technologyen_US
dc.identifier.urihttps://studentrepo.iium.edu.my/handle/123456789/9521
dc.identifier.urlhttps://lib.iium.edu.my/mom/services/mom/document/getFile/Z3Zih6gN08yP187CIWz83UeDvw9MEqjr20160526143935487
dc.language.isoenen_US
dc.publisherKuala Lumpur :International Islamic University Malaysia, 2015en_US
dc.rightsCopyright International Islamic University Malaysia
dc.subject.lcshData miningen_US
dc.subject.lcshText processing (Computer science)en_US
dc.subject.lcshSocial mediaen_US
dc.subject.lcsh-- Data processingen_US
dc.subject.lcshCanceren_US
dc.titleText mining analytics of social media stream and search engine for cancer related diseaseen_US
dc.typeMaster Thesisen_US
dspace.entity.typePublication

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