Mobile SMS Spam Filtering for Nepali Text Using Naïve Bayesian and Support Vector Machine
نویسندگان
چکیده
منابع مشابه
On Email Spam Filtering Using Support Vector Machine
On Email Spam Filtering Using Support Vector Machine
متن کاملK-Spectrum Support Vector Machine Classifier for Spam Filtering
ii Dedication iii Acknowledgments iv List of Tables vii List of Figures viii Chapter
متن کاملSMS Spam Detection using Machine Learning Approach
Over recent years, as the popularity of mobile phone devices has increased, Short Message Service (SMS) has grown into a multi-billion dollars industry. At the same time, reduction in the cost of messaging services has resulted in growth in unsolicited commercial advertisements (spams) being sent to mobile phones. In parts of Asia, up to 30% of text messages were spam in 2012. Lack of real data...
متن کاملUsing Wavelet Support Vector Machine for Fault Diagnosis of Gearboxes
Identifying fault categories, especially for compound faults, is a challenging task in mechanical fault diagnosis. For this task, this paper proposes a novel intelligent method based on wavelet packet transform (WPT) and multiple classifier fusion. An unexpected damage on the gearbox may break the whole transmission line down. It is therefore crucial for engineers and researchers to monitor the...
متن کاملAutomated Text Categorization Using Support Vector Machine
In this paper, we study the use of support vector machine in text categorization. Unlike other machine learning techniques , it allows easy incorporation of new documents into an existing trained system. Moreover, dimension reduction, which is usually imperative, now becomes optional. Thus, SVM adapts eeciently in dynamic environments that require frequent additions to the document collection. ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Intelligence Science
سال: 2014
ISSN: 2163-0283,2163-0356
DOI: 10.4236/ijis.2013.41004