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  Published Paper Details:

  Paper Title

INCLINATION ANALYSIS OF MARATHI LANGUAGE USING CLASSIFIER

  Authors

  Abuzar Siddqui,  Siddhesh Shirke,  Sachin Singh,  Vaishali Yeole

  Keywords

multi-way sentiment analysis, hierarchical classifiers, support vector machine, decision tree, naive bayes

  Abstract


Sentiment Analysis (SA) is trending and most talked about fields indata mining (DM) and natural language processing (NLP).This field has grown tremendously with the advent of the Web 2.0. The Internet has provided a platform for people to express their views, emotions and sentiments towards products, people and life in general. Thus, the Internet is now a vast resource of opinion rich textual data. The goal of Sentiment Analysis is to harness this data in order to obtain important information regarding public opinion, that would help make smarter business decisions, political campaigns and better product consumption. Sentiment Analysis focuses on identifying whether a given piece of text is subjective or objective and if it is subjective, then whether it is negative or positive

  IJCRT's Publication Details

  Unique Identification Number - IJCRT1802621

  Paper ID - 183253

  Page Number(s) - 1368-1371

  Pubished in - Volume 6 | Issue 1 | February 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Abuzar Siddqui,  Siddhesh Shirke,  Sachin Singh,  Vaishali Yeole,   "INCLINATION ANALYSIS OF MARATHI LANGUAGE USING CLASSIFIER", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.1368-1371, February 2018, Available at :http://www.ijcrt.org/papers/IJCRT1802621.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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