Text Mining Approach in Curtailing Cyber-Crimes in Nigeria

Abstract

The issue of cyber-crimes has continually pose a major threat both locally and globally since the growth in the use of computers and the internet. Various measures are continually been used by all bodies concerned to curb this trend that has gained prominence among youths although only minor success has been recorded. Hence, there is need for a more flexible, robust and adaptable approach in curbing this anomaly. The emergence of text mining as a technique in deriving high quality information from unstructured textual data that is available in enormous quantity on the web is recently gaining attention from researchers as it has been seen and verified to be effective in curtailing the activities of cyber-criminals. This study used the method of Review in research to explore how Social media monitoring and the application of Text Mining techniques can be used in curtailing crimes in Nigeria and relevant information was extracted using the Inductive approach. The work explored the novel world of text mining, its basic concepts, different application areas and an approach in using it to curb cyber-crimes.