A Survey of Text Mining in Social Media: Facebook and Twitter Perspectives-Reference-Cited by-同舟云学术

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A Survey of Text Mining in Social Media: Facebook and Twitter Perspectives

Published:2017-01 Issue:1 Volume:2 Page:127-133
ISSN:2415-6698
Container-title:Advances in Science, Technology and Engineering Systems Journal
language:
Short-container-title:Adv. sci. technol. eng. syst. j.

Author:

Salloum Said A.,Al-Emran Mostafa,Monem Azza Abdel,Shaalan Khaled

Publisher

ASTES Journal

Subject

Management of Technology and Innovation,Physics and Astronomy (miscellaneous),Engineering (miscellaneous)

Link

http://www.astesj.com/publications/ASTESJ_020115.pdf

Reference21 articles.

1. Mining social media data for understanding students' learning experiences;Chen;IEEE Transactions on Learning Technologies,2014

2. Buettner, R. (2016). Predicting user behavior in electronic markets based on personality-mining in large online social networks. Electronic Markets, 1-19.

3. Baumer, E. P., Sinclair, J., & Tomlinson, B. (2010, April). America is like Metamucil: fostering critical and creative thinking about metaphor in political blogs. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1437-1446). ACM.

4. Social media analytics;Stieglitz;Wirtschaftsinformatik,2014

5. Kasture, N. R., & Bhilare, P. B. (2015, February). An Approach for Sentiment analysis on social networking sites. In Computing Communication Control and Automation (ICCUBEA), 2015 International Conference on(pp. 390-395). IEEE.

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