A Proposed Similarity Measure for Text Classification
Shitanshu Jain1, S. C. Jain2, Santosh Vishwakarma3

1Shitanshu Jain*, PhD Scholar in Amity University Madhya-Pradesh.
2Dr. S.C. Jain, Director in the ASET , Amity University, Madhya Pradesh.
3Dr. Santosh K. Vishwakarma, Associate Professor, Department of CSE, School of Computing & IT, Manipal University Jaipur.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 23, 2020. | Manuscript published on April 10, 2020. | PP: 2232-2235 | Volume-9 Issue-6, April 2020. | Retrieval Number: D1939029420/2020©BEIESP | DOI: 10.35940/ijitee.D1939.049620
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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: A Similarity measure is a main process in the text processing method. we have proposed a new method of similarity measure which improved the performance of the K-NN method. The proposed measure extended the accuracy of the text classification method. we have implemented proposed method with Amazon dataset and we observed the effectiveness of proposed similarity measure is increase the accuracy of the similarity between set of documents in a corpus. The end result display performance achieved by way of the proposed measure is higher than that obtained by others. 
Keywords: Similarity Measure, Text Classification, Text Processing, KNN
Scope of the Article: Classification