2017 |
Volume 2 |
Issue 1
Knowledge Based Text Mining in Getting Perfect Preferences in Job Finding
1.
Shaziya Islam
– Assist. Prof., Dept. Of Comp. Science & Engg., Rungta College Of Engg. & Tech., Chhattisgarh, India.
2.
Manpreet Kaur
– Assist. Prof., Dept. Of Comp. Science & Engg., Rungta College Of Engg. & Tech., Chhattisgarh, India.
3.
Sanjeev Sharma
– Assist. Prof., Dept. Of Comp. Science & Engg., Rungta College Of Engg. & Tech., Chhattisgarh, India.
Received
02-Feb-2018
|
Accepted
-
|
Published
02-Feb-2018
|
Abstract
Although we know that finding the most suitable job using the internet takes various hours because the job portal gives us the preferences of jobs based on some particular keyword stored in their database but it may be not the preferences you want so in order to remove wrong relevancy of job preferences, and to be appropriate we have the concept of text mining with knowledge based in order to filter out most suitable preferences based on our searching criteria, so the problem is to give 100% accuracy using knowledge based text mining using some technique, so in order to give accurate means 100% results we have used concept of knowledge based text mining using R studio by which we get only the job preferences which we want according to our criteria, hence this paper gives that 100% accuracy in finding that.
Keywords Job finding, Text mining.
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