Article Information  
Detecting Tweet-Based Sentiment Polarity of Plastic Surgery Treatment

Keywords: Sentiment Analysis, Tweets, Plastic Surgery, Classification

Mehran University Research Journal of Engineering & Technology

Volume 34 ,  Issue 4

Marvi   Jokhio , Naeem Ahmed   Mahoto , Salahuddin  Jokhio ,

References
1. American Society of Plastic Surgeons, “2013 Plastic Surgery Statistics Report”, ASPS National Clearing House of Plastic Surgery Procedural Statistics, (Available at http://www.plasticsurgery.org, (Last Accessed 22nd October, 2014)
2. Pang, B., and Lee, L., “Opinion Mining and Sentiment Analysis”, Journal of Foundations and Trends in Information Retrieval, Volume 2, Nos. 1-2, pp. 1-135, USA, 2008
3. Tumasjan, A., Sprenger, T.O., Sandner, P.G., and Welpe, I.M., “Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment”, Proceedings of International Conference on Weblogs and Social Media, Washington, DC, USA, May 23-26, 2010
4. Wang, H., Can, D., Kazemzadeh, A., Bar, F., and Narayanan, S., “A System for Real-Time Twitter Sentiment Analysis of 2012 US Presidential Election Cycle”, Proceedings of Association of Computational Linguistics System Demonstrations, Jeju Island, Korea, July 10, 2012
5. Bollen, J., Mao, H., and Zeng, X.J., “Twitter Mood Predicts the Stock Market”, Journal of Computer Science, Volume 2, No. 1, pp. 1-8, 2011
6. Lek, H.H., and Poo, D.C., "Aspect-Based Twitter Sentiment Classification", Proceedings of IEEE International Conference on Tools with Artificial Intelligence, Herndon, VA, USA, November 4-6, 2013.
7. Ji, X., Chun, S.A., and Geller, J. "Monitoring Public Health Concerns Using Twitter Sentiment Classifications", Proceedings of IEEE International Conference on Healthcare Informatics, Pennsylvania USA, September 9-11, 2013.
8. Athar, A., "Sentiment Analysis of Scientific Citations", Technical Report Number 856, University of Cambridge, Computer Laboratory, Available online at http:// www.cl.cam.ac.uk/techreports/UCAM-CL-TR-856.pdf, ISSN:1476-2986.
9. Beykikhoshk, A., Arandjelovic, O., Phung, D., Venkatesh, S., and Caelli, T., "Data-Mining Twitter and the Autism Spectrum Disorder: A Pilot Study", Proceedings of IEEE/ ACM International Conference on Advances in Social Networks Analysis and Mining, China, August 17-20, 2014.
10. Ofek, N., Caragea, C, Rokach, L., Biyani, P., Mitra, P., Yen, J., Portier, K., Greer, G., "Improving Sentiment Analysis in an Online Cancer Survivor Community Using Dynamic Sentiment Lexicon", Proceedings of International Conference on Social Intelligence and Technology, USA, May 8-10, 2013.
11. Hodeghatta, U.R., "Sentiment Analysis of Hollywood Movies on Twitter", Proceedings of IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Canada, August 25-28, 2013
12. Hodeghatta, U.R., "Sentiment Analysis of Hollywood Movies on Twitter", Proceedings of IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Canada, August 25-28, 2013
13. Mahmood, T., Iqbal, T., Amin, F., Lohanna, W., and Mustafa, A., "Mining Twitter Big Data to Predict 2013 Pakistan Election Winner", Proceedings of 16th International Multi Topic Conference, Pakistan, December 19-20, 2013
14. Karamibekr, M., and Ghorbani, A., "Sentiment Analysis of Social Issues", Proceedings of IEEE International Conference on Social Informatics, Switzerland, December 14-16 2012.
15. Claster, W.B., Cooper, M., and Sallis, P., "ThailandTourism and Conflict: Modeling Sentiment from Twitter Tweets Using Naive Bayes and Unsupervised Artificial Neural Nets", Proceedings of IEEE 2nd International Conference on Computational Intelligence, Modelling and Simulation, Indonesia,September 28-30, 2010
16. Twitter Developer's Documentation, available online at https://dev.twitter.com/docs, [last accessed 2/10/2014].
17. Hu, M., and Liu, B., "Mining and Summarizing Customer Reviews", Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Seattle, Washington, USA, August, 22-25, 2004.
18. Breen J., "R Tutorial: Mining Twitter for Consumer Sentiment", Online Tutorial Available and Resources available at, http://www.jeffreybreen.com/code, [last accessed 01-08- 2014].
19. Manning, C.D., Raghavan, P., and Schutze, H., "Introduction to Information Retrieval", Cambridge University Press, Volume 1, [ISBN: 0521865719], 2008.
   


© 1982-2017 Mehran University Research Journal Of Engineering & Technology, Jamshoro, 76062, Sindh, Pakistan. All Rights Reserved.