In recent years, it has become increasingly common for individuals to connect with their relatives and friends, read the most news, discuss various social topics by using online platforms such as Twitter Facebook. As a consequence of this, anything that is considered spam can quickly spread among them. The identification widely regarded one significant problems involved in text analysis. Previo...

Now-a-days, data is flowing with various types of information and it is absolutely enormous and moreover, it is in unstructured form. These raw data is meaningless unless it is processed and analyzed to retrieve all the valuable and meaningful information. In this paper, a design and principal functionalities of the system prototype is introduced. A process of information retrieval by applying ...

Electronic mail is playing an important role for communication among Internet users. However, the value of electronic mail is being impaired by spam mails including unwanted commercial information, virus mails including malignant codes and many different forms of unnecessary information. Thus, it is urgent to develop a method of blocking spam mails fundamentally. The present study proposes a me...

Resumo—Nos últimos anos, a popularização dos celulares e smartphones impulsionou o uso de SMS como forma alternativa e barata de comunicação. O crescimento de adeptos ao serviço aliado a alta confiança que os usuários possuem nesses tipos de mensagens, vêm atraindo a atenção de pessoas e empresas mal intencionadas, conhecidas como spammers. O spam nesse contexto representa um problema para os m...

Short Message Service (SMS) is a very popular service used for communication by mobile users. However, this can be abused executing illegal activities and influencing security risks. Nowadays, many automatic machine learning (AutoML) tools exist which help domain experts lay users to build high-quality ML models with little or no knowledge. In work, classification performance comparison was con...