A RESEARCH PAPER ON PRODUCT REVIEW BASED ON GEOGRAPHIC LOCATION USING SVM APPROACH IN TWITTER
Keywords:
Sentiment Analysis, Social Media, Twitter, Machine Learning Methods, Support Vector Machine, K-Neatest Neighbour, Naïve Bayes, pre-processing, Feature Extraction, Opinion Mining Unigram, Bigram, Trigram, N-gramAbstract
Many organizations do distinctive sorts of overviews like Product quality study, aggressive items and market study, mark audit study, client benefit review, new item acknowledgment and request study, client trust and steadfastness study and numerous different studies for the organization and item upgrades. These sort of reviews need parcel of spending plan, labor and part of time. The report produced by this procedure won't not be certified. This is tedious, high spending plan included and manual process. Online informal organization (OSNs, for example, Facebook, Google+, and Twitter has changed the present framework in many measurements. Twitter will useful for company to grow their business ideas and launching new products.
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