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Dergiler / Journal of Soft Computing and Artificial Intelligence / 2022 / Volume: 3 Issue: 2

Classification of Unwanted SMS Data (Spam) with Text Mining Techniques

Rasim Çekik(ŞIRNAK ÜNİVERSİTESİ)0000-0002-7820-413X
Sayfa
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Yayın Tarihi
2022-12-28
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

This study establishes a general framework for future research in this area that will employ text mining techniques.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Text mining, which derives information from written sources such as websites, books, e-mails, articles, and online news, processes and structures data using advanced approaches.
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Temel Bulgular & Veri:As a result, the strategy that yielded the best results was chosen.
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Sonuç & Katkı:This study establishes a general framework for future research in this area that will employ text mining techniques.
🔬Tür:Research Article
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Text Mining · Text Classification · Spam SMS

Abstract

Text mining, which derives information from written sources such as websites, books, e-mails, articles, and online news, processes and structures data using advanced approaches. The vast majority of SMS (Short Message Service) messages are unwanted short text documents. Effectively classifying these documents will aid in the detection of spam. The study attempted to identify the most effective techniques on SMS data at each stage of text mining. Four of the most well-known feature selection approaches were used, each of which is one of these parameters. As a result, the strategy that yielded the best results was chosen. In addition, another parameter that produces the best results with this approach, the classifier, was determined. The DFS feature selection approach produced the best results with the SVM classifier, according to the experimental results. This study establishes a general framework for future research in this area that will employ text mining techniques.

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Bu Makaleye Atıf Yap

Çekik, R. (2022). Classification of Unwanted SMS Data (Spam) with Text Mining Techniques. Journal of Soft Computing and Artificial Intelligence, Volume: 3 Issue: 2. https://doi.org/10.55195/jscai.1210559

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