• M.sundarababu
• Mahendra Suthar
• CH.Deva Harsha
• Lubna Juveria
• B.Blessy

There exists a large amount of information being stored in the electronic format. With such data, it has become a necessity of such means that could interpret and analyze such data and extract such facts that could help in decision making. Data mining which is used for extracting hidden information from huge databases is a very time-consuming process. The major drawback would be its provided accuracy. It is essential to provided information with nil errors in today’s growing world. The second drawback is the Zero Frequency Problem that exists in the naive Bayes algorithm. Therefore, to overcome these drawbacks we are using the Multinomial Naive Bayes Algorithm

Multinomial naïve bayes, classification

"NEWS CLASSIFICATION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 3, page no.657-659, March-2020, Available :http://www.jetir.org/papers/JETIR2003102.pdf

"NEWS CLASSIFICATION USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 3, page no. pp657-659, March-2020, Available at : http://www.jetir.org/papers/JETIR2003102.pdf