International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,May 2018,

Topic : Facebook Vs Linkedin: A Text Mining Approach for Job Preference

Authors:Sarita. Byagar || Dr. Anil Jadhav

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..

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DOI: 01.1617/vol5/iss5/pid03671


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Dr. Allon Guez
Professor, Drexel University,
USA


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ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
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