Feature Sentiment Text Categorization for Opinion Mining - C. Gandhi, Vaibhav
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Text classification is an important research area as it enables the computers to work intelligently process unstructured data. This unstructured data is a rich source of information for industries, huge organization, etc. Most of such opinion rich data (more than 85%) is in text format. In this work we have observed the effect of different algorithms on the text data including the Naïve Bayes. Our main focus is on improving the classification of text efficiency with using Naive Bayes Algorithm. with Feature selection sentimental analysis procedure we get the results according to users required attribute or entity.…mehr

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Produktbeschreibung
Text classification is an important research area as it enables the computers to work intelligently process unstructured data. This unstructured data is a rich source of information for industries, huge organization, etc. Most of such opinion rich data (more than 85%) is in text format. In this work we have observed the effect of different algorithms on the text data including the Naïve Bayes. Our main focus is on improving the classification of text efficiency with using Naive Bayes Algorithm. with Feature selection sentimental analysis procedure we get the results according to users required attribute or entity.
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Autorenporträt
I,Vaibhav C. Gandhi working as Assistant Professor at Navrachana University - Vadodara. I have guided number of students in M.Tech Dissertation.I have published more than 10 research paper in International and National Journal. I have life time membership in Indian Society for Technical Education Board.