Asian Journal of Computer Science and Technology (AJCST)
Web Mining System in a Natural Language Processing Based for Social Media Analysis
Author : Gadamsetty Vasavi and T. SudhaVolume 8 No.3 Special Issue:June 2019 pp 72-75
Abstract
Social Media Monitoring and Analysis are the new trends in technology business. The challenge is to extract correct information from free-form texts of social media communication. Natural Language Processing methods are sometimes used in social media monitoring to improve accuracy in extracting information. This paper discusses a web mining system that is based on Natural Language Processing to analyze social media information. In that process, this research examines Natural Language methods that are important for such analysis. Then the traditional web mining steps are discussed along with proposed use of Natural Language Processing methods.
Keywords
Natural Language Processing, Social Media Analysis, Web Mining, Text Mining
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References
[1] D. Bikel and I. Zitouni, “Multilingual Natural Language Processing Applications: From Theory to Practice”, USA: IBM Press, pp. 400, 2012.
[2] A. Elmaani, SMMRY [Online]. Available at http://smmry.com/api, Nov 27, 2012.
[3] D. Bikel and I. Zitouni, Multilingual Natural Language Processing Applications: From Theory to Practice, USA: IBM Press, pp. 286, 2012.
[4] The Stanford Natural Language Processing Group. Stanford Named Entity Recognizer (NER) [Online]. Available at: http://nlp.stanford.edu/software/CRF-NER.shtml#About, Nov. 15, 2012.
[5] Robin. Natural Language Processing: Parts-of-speech tagging, [Online]. Available at: http://language. worldofcomputing.net/pos-tagging/parts-of-speech-tagging.html, Nov. 12, 2012.
[6] S. Bandyopadhyay, S. Naskar and A. Ekbal. “Emerging Applications of Natural Language processing”, Hershey, PA, USA: IGI Global, 2013.
[7] Princeton University. (2012, Nov 10). WordNet: A Lexical database for English [Online]. Available at: http://wordnet.princeton.edu/
[8] M. Song and Y. Wu, “Handbook of Research on Text and Web Mining Technology”, Hershey, PA, USA: IGI Global, pp. 194, 2009.
[9] B. Liu, Sentiment Analysis and Opinion Mining, USA: Morgan and Claypool, 2012.
[10] H. Prado and E. Ferneda, “Emerging Technologies of Text Mining: Techniques and Application”, Hershey, PA, USA: IGI Global, pp. 56, 2009. International Journal of Scientific and Research Publications, Vol. 3, No.1, January 2013.
[11] GNIP, GNIP: The Social Media API [Online] Available at: http://gnip.com/sources, Nov 28, 2012.
[12] J. Lin and C. Dyer, “Data-Intensive Text Processing with MapReduce”, USA: Morgan and Claypool, 2010.
[13] M. Song and Y. Wu, “Handbook of Research on Text and Web Mining Technology”, Hershey, PA, USA: IGI Global, pp. 228, 2009.