|Title:||A technique for associating political alignment to users|
Alcaraz Calero J.M.
|Published in:||Proceedings of 2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015|
|Abstract:||Today people use social media (eg, Twitter) to express their views on different topics. Many political parties have utilized such social media platforms for their election campaigns. Twitter data may provide a lot of information about a users personality. We study how the personality and interest of an individual is linked with his/her political associations. We have used the data set of two political parties (AAP and BJP) pertaining to the 2014 general elections of India. We obtained 1000 users from the network around the prominent leaders of these parties and manually annotated the relevant data and trained it using SVM classifier. The results showed that interest, personality, and both considered together have relevance in determining the political associations for a user, yielding the classifier accuracy 0.60. © 2015 IEEE.|
|Citation:||Proceedings of 2015 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2015, (2015), 251- 257|
|Publisher:||Institute of Electrical and Electronics Engineers Inc.|
user political associations
|Author Scopus IDs:||56942655300|
|Author Affiliations:||Singh, R., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India|
Niyogi, R., Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India
|Appears in Collections:||Conference Publications [CS]|
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