Open Access Journal

ISSN : 2394-2320 (Online)

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

Monthly Journal for Computer Science and Engineering

Open Access Journal

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

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reference :

    1. 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.
    2. 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.
    3. Mostafa, M. M. (2013). More than words: Social networks‟ text mining for consumer brand sentiments. Expert Systems with Applications, 40(10), 4241-4251
    4. 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
    5. 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.
    6. 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)

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