A Comparative Study of Different Text Mining Algorithms |
Author(s): |
| Avi Patel , L.D.College of Engineering; Divya Patel, L.D.College of Engineering; Poojan Patel, L.D.College of Engineering; Bhavesh Oza, L.D.College of Engineering |
Keywords: |
| Spam message detection, Text Mining, Neural Networks, K Nearest Neighbours, Naïve Bayes, Support Vector Machine, Machine Learning |
Abstract |
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In this paper, we will discuss some of the research we have find till and what we have concluded from that survey. We try to compare and combine four text mining algorithms we have explored. We will work on Text Classification (Message or Comment Spamming detection). Text mining is the process of extraction of high quality of information from text. It involves the structuring of input text, deriving patterns within it and finally interpretation of the output. |
Other Details |
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Paper ID: IJSRDV5I100124 Published in: Volume : 5, Issue : 10 Publication Date: 01/01/2018 Page(s): 265-268 |
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