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Spam SMS detection for Turkish language with deep text analysis and deep learning methods
With the increasing number of mobile users day by day, the security of mobile phones is an
important issue. SMS service available as standard in all users; advertising makes it a …
important issue. SMS service available as standard in all users; advertising makes it a …
SMS spam filtering and thread identification using bi-level text classification and clustering techniques
SMS spam detection is an important task where spam SMS messages are identified and
filtered. As greater numbers of SMS messages are communicated every day, it is very …
filtered. As greater numbers of SMS messages are communicated every day, it is very …
A novel framework for SMS spam filtering
A novel framework for SMS spam filtering is introduced in this paper to prevent mobile
phone users from unsolicited SMS messages. The framework makes use of two distinct …
phone users from unsolicited SMS messages. The framework makes use of two distinct …
On feature weighting and selection for medical document classification
Medical document classification is still one of the popular research problems inside text
classification domain. In this study, the impact of feature selection and feature weighting on …
classification domain. In this study, the impact of feature selection and feature weighting on …
Classification of medical documents according to diseases
Medical text classification is still one of the popular research problems inside text
classification domain. Apart from some text data compiled from hospital records, most of the …
classification domain. Apart from some text data compiled from hospital records, most of the …
The impact of feature selection on medical document classification
Medical document classification is still one of the popular research problems inside text
classification domain. Apart from some text data compiled from hospital records, most of the …
classification domain. Apart from some text data compiled from hospital records, most of the …
Effects of light stemming on feature extraction and selection for arabic documents classification
This chapter aims to study the effects of the light stemming technique on feature extraction
where Bag of Words (BoW) and Term frequency-Inverse Documents (TF-IDF) are employed …
where Bag of Words (BoW) and Term frequency-Inverse Documents (TF-IDF) are employed …
Efficient feature representation based on the effect of words frequency for Arabic documents classification
This paper is based on the influence of the frequency of words in the classification of Arabic
documents, its effects on the representation of characteristics namely Bag of word (Bow) and …
documents, its effects on the representation of characteristics namely Bag of word (Bow) and …
[PDF][PDF] A Bi-Level Text Classification Approach for SMS Spam Filtering and Identifying Priority Messages.
Short Message Service (SMS) traffic is increasing day by day and trillions of sms are sent
and received by billions of users every day. Spam messages are also increasing in same …
and received by billions of users every day. Spam messages are also increasing in same …
COVID-19-Related Cyberattacks and Precautions Taken by Countries
2019 yılının sonlarında ortaya çıkan koronavirüs pandemisi, 2020 yılının başlarında tüm
dünyada görülmeye başlanmıştır. Daha sonra bu pandemi nedeniyle ölenlerin sayısı hemen …
dünyada görülmeye başlanmıştır. Daha sonra bu pandemi nedeniyle ölenlerin sayısı hemen …