A Novel on Classification Techniques of News with Help of Sentiment Detection
Shailja Joshi1, Mayank Patel2, Manish Tiwari3

1Shailja Joshi, Student, Post Graduate, Department of Computer Science & Engineering, Rajasthan Technical University, Rajasthan, India.
2Mayank Patel, Associate Professor, Department of Computer Science and Engineering, Geetanjali Institute of Technical Studies, Udaipur, (Rajasthan), India.
3Manish Tiwari, Associate Professor, Department of Computer Science and Engineering of Geetanjali Institute of Technical Studies, Udaipur, (Rajasthan), India.
Manuscript received on February 12, 2020. | Revised Manuscript received on February 21, 2020. | Manuscript published on March 30, 2020. | PP: 389-392 | Volume-8 Issue-6, March 2020. | Retrieval Number: E6635018520/2020©BEIESP | DOI: 10.35940/ijrte.E6635.038620

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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: The problem of data classification is an important topic in the field of machine learning and information retrieval. This has been widely studied and has been applied in many fields. There are multiple models which are proposed for the classification, like tree-structured classifiers, genetic algorithms, Bayesian classification, neural networks etc. These have a large range of applications in different areas like, fraud/spam detection, Customer Segmentation, Medical Diagnosis, Credit approval, weather prediction etc. This project tries to aim at a particular subclass of classification, namely sentiment analysis. Hybrid techniques should be applied in this field of study as each of the existing models have brought about some new expertise and their improvements need to be combined to give higher performance and accuracy. The sentiment analysis problem requires to take as input a block of text and correctly predict the sentiment of the writer or the speaker of the text. We have sufficient data to build a system that uses hybrid techniques like Naïve Bayes and combines the existing models to perform sentiment analysis on a dataset and study its results. The hybrid approach using Naïve Bayes to this problem gives promising results.
Keywords: Naïve Bayes Classifier, Machine learning techniques, Sentiment Analysis.
Scope of the Article: Application Artificial Intelligence and machine learning in the Field of Network and Database.