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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
SMS Spam Detection
Authors
V. Iswarya Kumari, J. Sirisha, T. Lakshmi Prasanna, M. Jaya Tanuja, M. Rishitha
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Abstract
: In our everyday lives, the conversation has been going through SMS (Short Message Service) for various purposes. Many organizations communicate our request processing through SMS, which is easy to communicate. Many fraudulent URLs and short links are sent through SMS, and we don't know if they are safe or not. If we click on the links and give them our information, they may misuse it and threaten us with money. So, we can't predict them by seeing whether they are spam or not. To address this problem, we have come across machine learning algorithms and a natural language toolkit that help tokenize and preprocess every word. To come up with a user interface that makes better use of availability and can predict spam and not spam. In this paper, we are going to check all the classification algorithms and choose the most accurate one to build and save the model so we can implement it in the user interface.
IJCRT's Publication Details
Unique Identification Number - IJCRT2304685
Paper ID - 234722
Page Number(s) - f536-f541
Pubished in - Volume 11 | Issue 4 | April 2023
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
V. Iswarya Kumari, J. Sirisha, T. Lakshmi Prasanna, M. Jaya Tanuja, M. Rishitha, "SMS Spam Detection", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 4, pp.f536-f541, April 2023, Available at :http://www.ijcrt.org/papers/IJCRT2304685.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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