Author : Sarita. Byagar 1
Date of Publication :23rd May 2018
Abstract: Social media has become the catchword as every individual is directly or indirectly hooked to these sites. The topical growth of online social networks has enabled job seekers to stay connected and find anticipated jobs through these sites. The amount of textual data generated on these sites is massive which can be mined to find what information they focus on and also discover which site is ideal to the user for job search or job related bustle. The paper is organized as follows: Section 1 is the introduction of social media, social media for jobs and data mining of social media. Section 2 gives a brief review of text mining, Section 3 explains the research questions explored in this paper, the context of the study, Section 4 details its methodological approach i.e procedures. Section 5 discusses the results. Section 6 concludes discussion and conclusion.
Reference :
-
- Ampofo, L., Collister, S., O‟Loughlin, B., & Chadwick, A. (2015). Text Mining and Social Media: When Quantitative Meets Qualitative and Software Meets People. Innovations in Digital Research Methods, 161-91.
- Thiel, K., Kötter, T., Berthold, M., Silipo, R., &Winters, P. (2012). Creating usable customer intelligence from social media data: Network analytics meets text mining. KNIME. com Report.
- Mostafa, M. M. (2013). More than words: Social networks‟ text mining for consumer brand sentiments. Expert Systems with Applications, 40(10), 4241-4251
- He, W., Zha, S., & Li, L. (2013). Social media competitive analysis and text mining: A case study in the pizza industry. International Journal of Information Management, 33(3), 464-472
- Dai, K., Nespereira, C. G., Vilas, A. F., & Redondo, R. P. D. (2015). Scraping and Clustering Techniques for the Characterization of Linkedin Profiles. arXiv preprint arXiv:1505.00989.
- Younis, E. M. (2015). Sentiment Analysis and Text Mining for Social Media Microblogs using Open Source Tools: An Empirical Study. International Journal of Computer Applications, 112(5)