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

Abstract

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.