"Mobile SMS Spam Filtering for Nepali Text Using Naïve Bayesian and Support Vector Machine"
written by Tej Bahadur Shahi, Abhimanu Yadav,
published by International Journal of Intelligence Science, Vol.4 No.1, 2014
has been cited by the following article(s):
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[2] Nepali news classification using Naïve Bayes, Support Vector Machines and Neural Networks
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[9] Optimizing Naïve Bayes Algorithm for SMS Spam Filtering on Mobile Phone to Reduce the Consumption of Resources
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[10] Identifikasi SMS Spam bahasa Indonesia Menggunakan Algoritma Twitter-LDA
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[11] Rule Based Sentiment Analysis of Punjabi Tweets Using Vector Evaluation Method
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[13] Komparasi Algoritma Support Vector Machine, Naïve Bayes Dan C4. 5 Untuk Klasifikasi SMS
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[14] Simple Detection Model to Suspicious Viber Messages
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[15] A New SMS Spam Detection Method Using Both Content-Based and Non Content-Based Features
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[16] Improving Nepali Document Classification by Neural Network
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[17] The performance of soft computing techniques on content-based SMS spam filtering
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[18] Efficient Support Vector Machines for Spam Detection: A Survey
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[19] Implementasi Dan Analisis Klasifikasi Spam Pada Pesan Singkat Seluler Dengan Pendekatancollaborative Filtering Menggunakan Naïve Bayes
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