IDENTIFICATION IN TEXT MINING FOR USED IN FORENSICS
ABSTARCT: We have reviewed into text data and e mail content mining for author identification, or authorship categorization, for the purpose of forensic investigation. We have focused our discussion on the ability to discriminate between authors for the case of both e mails as well as across the simple text data. An set of e mail document features including structural characteristics and linguistic patterns which can be derived with a Support Vector Machine learning algorithm, which can be used for mining the e mail content. The experiments using a number of e mail documents and the text data generated by different authors on a set of topics gave good results for both author identification categorization.