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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | A Research paper of SMS Spam Detection |
| Authors Name: | Arpita Laxman Gawade , Sneha Sagar Shinde , Samruddhi Gajanan Sawant , Rutuja Santosh Chougule , Almas Amol Mahaldar. |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_215268
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| Published Paper Id: | IJNRD2403165 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| Abstract: | In this methodological period the use of tools such as compartment phone has long-drawn-out, Diminutive Communication Facility (SMS) has established into a multi-billion dollar manufacturing. Instantaneously, a decrease in the expense of informing administrations has brought about development in spontaneous business promotions (spams) being shipped off cell phones. In pieces of Asia, up to 30% of instant messages were spam in 2012.The absence of genuine information bases for SMS spam, a short length of messages and restricted highlights, and their casual language are the variables that may cause the setup email sifting calculations to fail to meet expectations in their order. In this undertaking, a data set of genuine SMS Spam store is utilized, and subsequent to preprocessing and highlight extraction, distinctive AI methods are applied to the information base. SMS spam filtering is a comparatively recent errand to deal such a problem. It accede to many concerns and quick fixes from E- mail spam filtering. However it front sits own certain issues and problems at last, the outcomes are supposed about andthe best calculation for spam sifting for text informing is presented. |
| Keywords: | SMS, spam detection, machine learning, algorithms) |
| Cite Article: | "A Research paper of SMS Spam Detection ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.b600-b604, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403165.pdf |
| Downloads: | 00052 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2403165 Registration ID: 215268 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: b600-b604 Country: Ichalkaranji , Maharashtra, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403165 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403165 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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