Abstract
Online social networks such as Twitter, Facebook, Google+ and LinkedIn are the major sources to get massive data of people, communities and events. In the recent years, opinion mining received a huge amount of attention from researchers to understand the views of people and to extract useful patterns regarding any event or topic. These useful patterns help to predict upcoming events, user behavior, product sale and political elections etc. In this paper, we performed sentimental analysis of people on twitter data for upcoming general election of 2018 of Pakistan. We have chosen three major political parties PPP (Pakistan People Party), PMLN (Pakistan Muslim League Nawaz) and PTI (Pakistan Tehreek-e-Insaf) and their activists to find which party is the most favorable (for win) during upcoming elections. We have generated extensive results to understand the views of users with different aspects shown in the experimental results section. We used R-Studio [1] and its built-in libraries for generating different types of results. According to the results based on positive reviews, PTI and PPP have great competition, but according to the negative reviews PMLN will be the leading party.
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Khan, S., Moqurrab, S.A., Sehar, R., Ayub, U. (2019). Opinion and Emotion Mining for Pakistan General Election 2018 on Twitter Data. In: Bajwa, I., Kamareddine, F., Costa, A. (eds) Intelligent Technologies and Applications. INTAP 2018. Communications in Computer and Information Science, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-13-6052-7_9
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DOI: https://doi.org/10.1007/978-981-13-6052-7_9
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