Comparative study on corpus development for Malay investment fraud detection in website

Abstract

In the online world, fraud can easily manipulate people to gain something and usually for manipulate people to gain something and usually for monetary gain. Corpus development research can be use identify keywords used by fraudsters monetary gain. Corpus development research can be use identify keywords used by fraudsters online to prevent the crime. The aim of this research is to develop a corpus for Malay online to prevent the crime. The aim of this research is to develop a corpus for Malay investment fraud so that it can be used in detection and classification of investment fraud in t can be used in detection and classification of investment fraud in Malay website and compare the most suitable technique. Malay website and compare the most suitable technique. In this research, Part -of-Speech tagger tagger (POS) (POS) and Named and Named Entity Recognition (NER) Entity Recognition (NER) tagger tagger are are selected. selected. Proposed Proposed methodology that are used in this research is corpus development, training and development used in this research is corpus development, training and development of dataset using Naïve Bayes and performance evaluation. The dataset used in this research is of dataset using Naïve Bayes and performance evaluation. The dataset used in this research is online news archive and discussion forums. This research able to help the law enforcements online news archive and discussion forums. This research able to help the law enforcements agencies in collecting and notifying the keyword used by fraudsters so that they can take any gencies in collecting and notifying the keyword used by fraudsters so that they can take any legal actions.