Current trends in text mining for social media

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Abstract

Online social media has created new paradigms of information sharing which not only provides appropriate platform for the contributors but also for active information seekers. Numerous forms of social media have gained the widespread attention internet users’ almost on explosion level. Availability of data on such behemoth scale mandates regular and critical analysis of this information for various perspectives’ plausibility. As text mining plays a significant and crucial role in discovery of these insights therefore its challenges and contribution in social media analysis must be explored extensively. This paper focuses on description of assorted social media text mining methods with their viabilities and summarizes various commercial and open source tools for such data analysis.

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APA

Singh, T., Kumari, M., Pal, T. L., & Chauhan, A. (2017). Current trends in text mining for social media. International Journal of Grid and Distributed Computing, 10(6), 11–28. https://doi.org/10.14257/ijgdc.2017.10.6.02

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