Analysis of Text Classification of Dataset using NB-Classification
Shanti Minduru1, A Eknath2, Venkat Sai Chowdary Velgapudi3, Moulana Mohammed4
1Shanti Minduru, Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
2A.Eknath, Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
3Venkat Sai Chowdary Velgapudi, Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
4Moulana Mohammed, Associate Professor, Department of Computer Science Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur (Andhra Pradesh), India.
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 1175-1179 | Volume-8 Issue-5, March 2019 | Retrieval Number: E3151038519/19©BEIESP
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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: Social Media is getting more attention now a days. People are highly influenced by comments, tweets etc. to increase their popularity. Opinions offer organizations to analyze the thinking of the people towards the success of the movie. In this paper we have taken a twitter dataset to explore the sentimental analysis using algorithms Naïve Bayes and K Cross Validation in R Programing [10]. Our implementation results shows that K Cross validation provides the accuracy followed by Naïve Bayes formula.
Keyword: Naïve Bayes Algorithm, K-Fold Cross Validation, Data Analysis Using R.
Scope of the Article: Classification