Browsing by Author "QURATULAIN"

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    THE ROLE OF SOCIAL MEDIA AND BIG DATA IN POLITICS
    (UMT, Lahore, 2018) QURATULAIN
    The use of social media has increased tremendously in the last few years and this use is producing trillion of amounts of data every day. This large amount of data from social media platforms enabled researchers to study the patterns of data and extract useful information from that data. In 2008, the social media data was used for election prediction and to persuade the citizens which were a huge success but the vital information was processed and social media analysis was being performed manually. Different countries including Pakistan took the same initiative as well and run very successful campaigns. Some researchers claimed that it is possible to predict and influence the election results using different social media platforms and used different techniques to prove their claims. The techniques fall un- der ten different approaches: surveys, machine learning, statistical, data mining, dictionary based, linguistic anthropology, ontology, software based, hand-coded and case-study based. Among all these approaches, machine learning approaches outperformed and hence gained a lot of attention from the research community. To analyze the role of social media in politics, this paper presents the sentiment analysis that was used to classify and predict election results. The test results demonstrate that the social media data can be utilized for inferring political behaviors of various parties. Positive, negative and neutral conduct of the followers of a certain party and party’s campaign effect can be anticipated from the analysis. The analytical results demonstrate impressive correspondence with actual results as published by Election Commission of Pakistan.