The use of generative learning models in natural language processing (NLP) has significantly contributed to the advancement applications, such as sentimental analysis, topic modeling, text classification, chatbots, and spam filtering. With a large amount generated each day from different sources, web-pages, blogs, emails, social media, articles, one most common tasks NLP is classification corpu...

Customerization In the current scenario, mobile internet applications enable consumers to access a variety of services: Web information search, SMS (short message service), MMS (multimedia message service), banking, payment, gaming, e-mailing, chat, weather forecast, GPS (global positioning service), and so forth. Collectively, we denominate this wide array of services as “mcommerce.” These dig...

Abstract The random forest algorithm could be enhanced and produce better results with a well-designed organized feature selection phase. dependency structure between the variables is considered to most important criterion behind selecting used in during As mostly nonlinear, making use of tool that considers nonlinearity would more beneficial approach. Copula-Based Clustering technique (CoClust...

Mobile marketing also known as wireless marketing is a model of advertising that targets users of handheld mobile instruments like cell phones and Personal Digital Assistants (PDAs). Mobile or SMS Marketing allows direct communication with the consumers, targeted audience and potential market of the company with much ease and in less time. [1] (Haghirian, 2001). SMS marketing can be more cost e...

The term ‘spam’ addresses unsolicited emails sent in bulk; therefore, the term‘financial fraud spam’ refers to unwanted bulk emails in which different tricks and techniques areemployed to swindle money from the recipients. Estimates show that more than 80% of worldwideemail traffic in 2011 was spam. It should be noted that while the number of daily spam emails in2002 was 2.4 billion, this numbe...

Recently, spam on online social networks has attracted attention in the research and business world. Twitter become preferred medium to spread content. Many efforts attempted encounter spam. brought extra challenges represented by feature space size, imbalanced data distributions. Usually, related works focus part of these main or produce black-box models. In this paper, we propose a modified g...

In this paper anti-spam filtering is presented as a cumbersome service, as opposed to a software product perspective. The huge human effort for setting up, adaptation, maintenance, and tuning of filters for spam detection in anti-spam systems is explained. Choosing the best importance scores for the spam filters is essential for the accuracy of any rules based anti-spam system, and is also one ...