Text Forensics and Analytics
Text media is everywhere, from e-mails, blogs, chat room interactions to social media. As more of our lives become entwined over the Internet, we consume more information on Internet. But how accurate is this information? How safe is it to trust strangers? Unfortunately, there are too many cases of fraud and crime committed online via the Internet and Social Media. In this part of our research work, we grapple with some fundamental problems in this area. Is it possible to detect if someone is deceiving you on the Internet? Is there person chatting with your child on social media sites a sexual predator? Who exactly are you conversing with? How honest are they? These are some of the questions we answer here.
Our research is supported by the US Intelligence Systems Support Office and other DoD agencies. Our deception detection tool is the basis of our technology start-up company Jaasuz, where you can try our algorithms. I received a New Jersey Innovators Hall of Fame, Innovator Award for my work on this technology.
- Xiaoling Chen, R. Chandramouli and K.P. Subbalakshmi. (2014). "Scam Detection in Twitter", Data Mining for Service, Katsutoshi Yada, Series: Studies in Big Data, Springer Berlin Heidelberg. 3 133-150.
- Z. Dong, R.D.W. Perera, R. Chandramouli and K.P. Subbalakshmi. (Jan 2012). "Network measurement based modeling and optimization for IP geo-location", Elsevier Journal Computer Networks: The International Journal of Computer and Telecommunications Networking, 56 (1), 85-98.
- X. Chen, R. Chandramouli and K.P. Subbalakshmi. (2011). "Scam detection in Twitter", SIAM Text Mining Workshop . SIAM.
- Na Cheng, R. Chandramouli and K.P. Subbalakshmi. (2011). "Author Gender Identification from Text Documents", The Journal of Digital Investigation Volume 8, Issue 1, July 2011, Pages 78–88.
- Xiaoling Chen, Rohan D Perera, Ziqian Dong, R. Chandramouli, and K.P. Subbalakshmi. (2010). "Deception Detection on the Internet", Research on Computational Forensics, Digital Crime and Investigation: Methods and Solutions, IGI Global, ISBN13: 978-1-60566-836-9. 334 – 354.
- X. Chen, R. Chandramouli and K.P. Subbalakshmi. (2011). "Authorship similarity detection from emails", Machine Learning and Data Mining Conference.
- P. Hao, X. Chen, R. Chandramouli and K.P. Subbalakshmi. (2011). "Adaptive context modeling for deception detection in emails", Machine Learning and Data Mining Conference.
- Na Cheng, Xiaoling Chen, Rajarathnam Chandramouli and K.P. Subbalakshmi. (2008). "Gender Identification from E-mails", IEEE Symposium on Computational Intelligence and Data Mining.