Tweet Mining from General Elections of a Country
Journal Title: International Journal of Science Engineering and Advance Technology - Year 2016, Vol 4, Issue 9
Abstract
In previous election of a country for its democratic elections in which social media was targeted as a way to convince the social media users to attract their votes, an analysis of BigData on these elections tweets is performed to gather some interesting information. The parties which have been active on social media during elections were identified through hashtag and keyword frequency of occurrences; the top twitter users who influenced the public in election’s were identified by identifying the most re tweeted tweets and finally a comprehensive sentiment analysis were done on the big data set to check “Election trolling†where opposition parties insult and attack each other to get an idea of the political maturity of a country twitter users, with a high percentage negative sentiments it was deduced that people of that country lack political maturity.
Authors and Affiliations
Muhammad Noman Hayat| Department of Computer Science, University of Lahore Department of Physics, Abdul Wali Khan University Mardan Software Engineering Department, NUST, Islamabad Pakistan, Nigar Fida| Department of Computer Science, University of Lahore Department of Physics, Abdul Wali Khan University Mardan Software Engineering Department, NUST, Islamabad Pakistan, Haroon Khan| Department of Computer Science, University of Lahore Department of Physics, Abdul Wali Khan University Mardan Software Engineering Department, NUST, Islamabad Pakistan, Mohammad Sohail| Department of Computer Science, University of Lahore Department of Physics, Abdul Wali Khan University Mardan Software Engineering Department, NUST, Islamabad Pakistan
Keywords
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