Abstract

Abstract: This paper presents the concept ofusing sentimental analysis for discovering the perspective of the customertowards a product or service. Text categorization and Data Mining work parallelfor categorization of the customer review. The Sentimental analysis which iscomponent of the NLP(Natural language processing) is used to discover if thetext review is established according to the thoughts of the person and whatfacts does the text provide i.e., is the text liked, disliked or neutral. Themachine learning technique like SVM (Support Vector Machine) and KNN arecomponents of the supervised learning technique that can be used to discover ifthe text is liked, disliked or neutral. The model build time, searching time, accuracyand memory used is prominent in SVM than KNN.

Keywords– Textcategorization, Sentimental analysis, SVM, supervised learning, KNN.