Assamese Text Classification using k Nearest Neighbor
Moromi Gogoi1, Shikhar Kumar Sarma2
1Moromi Gogoi, Computer Science, Dibrugarh University, Dibrugarh, India.
2Shikhar Kumar Sarma, Information Technology, Gauhati University, Guwahati, India.

Manuscript received on November 12, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on 30 November, 2019. | PP: 8185-8188 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8820118419/2019©BEIESP | DOI: 10.35940/ijrte.D8820.118419

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Abstract: Knowledge is the most powerful weapon of a society. And in today’s world it is just a click away from the mouse. There is abundance of knowledge and information in the form of newspaper , electronic newspaper ,articles, online journals, webpages , search results etc. And there is a wide range of news from all over the world. But then the choice of news varies from person to person. Some people may prefer sports news to amusement news and some people may prefer political news over sports news and likewise there can be a number of other choices. It completely relies on individual’s decision. Document Classification is the process of classifying a document into a number of predefined classes. In this paper we have done document classification of Assamese text using k-Nearest Neighbor. We have considered only four classes sports , politics , law and science. Our dataset consists of 200 documents collected from major Assamese newspaper . We have divided our data into 3:1. Majority of our datasets that is 75% data from datasets is used for training and the rest 25% of the datasets is considered for testing.
Keywords: Document Classification, Assamese Text, k Nearest Neighbor..
Scope of the Article: Classification.