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A Survey on Sentiment Based Text Categorization
Doshi Bhaven Kusumkant,  Hemant Kumar Gupta
the data mining is a way of data processing for obtaining the information from raw data. These techniques are used in analysis of diverse nature of data i.e. image, text, video, audio and more. In our observation according to the type of data the utilization of algorithms are changed. In this presented work the applicability of unsupervised learning techniques over the text data is tried to explore. In this paper the technique of text data analysis based on the hidden sentiments are tried to study. In this context first the recently developed approaches of sentiment analysis techniques are studied and in further using the existing techniques and methods a new text categorization model is proposed for design and implementation. Finally the future work is also proposed in this paper.
Keywords- NLP, unsupervised learning, text clustering, comparison, text mining, FCM algorithm.
Unique Identification Number - IJEDR1903019Page Number(s) - 106-110Pubished in - Volume 7 | Issue 3 | July 2019DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Doshi Bhaven Kusumkant,  Hemant Kumar Gupta,   "A Survey on Sentiment Based Text Categorization"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 3, pp.106-110, July 2019, Available at :http://www.ijedr.org/papers/IJEDR1903019.pdf