Evaluation of Sentiment Data using Classifier Model in Rapid Miner Tool
Devipriya B1, Kalpana Y2
1Devipriya B, Department of Information Technology, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, India.
2Dr Kalpana Y, Department of Information Technology, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, India.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 2966-2972 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1323109119/2019©BEIESP | DOI: 10.35940/ijeat.A1323.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: TEvaluation of internet and the usage of internet as websites which is for penetrating to gain a specific requirements, like group communication as social networks (such as face book, twitter,etc.,) ,blogs for opinions, online portals (such as iGoogle, MSN) for communication, experience as reviews, suggestions as opinions, combination of reviews and opinions as recommendations, ratings and feedbacks which is identified and elevating in almost all the field now-a-days. The writers of online portal, review, opinion and recommendation in any social media take measures as beneficial factor for the improvement of businesses, organization, governments and mostly individuals. When this content boost up the study of content and the need of data mining, text mining techniques and sentiment analysis is inescapable. Natural language processing and text analysis techniques are used in sentiment analysis to recognize and extract information from the text [1]. This paper provides a result of sentiment analysis with the intellectual tool named Rapid Miner to show the sentiment comments about the contents in the online traders.
Keywords: Decision tree, K-NN, Naive Bayes, Rapid Minernalysis.