• GAURAV KUMAR SUMAN
• Dr. Jitendra Seethlani

The Forum is a huge virtual space where to express and share individual opinions, influencing any aspect of life. The exponential advancement in information and communication technology has fostered the creation of new online forums for much online discussion. In online forums, the users produce several and various formats of suspicious posts and exchange them online with other people. Monitoring these discussion forums for possible illegal activities that are in text formats can be further used as evidence for investigation. Recently internet has become a path for online illegal activities such as hacking, tracking, betting, fraud, scams etc. Malicious crowd utilize these online forums for many illegal purpose. Monitoring the suspicious activities is one of the better way to measure clients loyalty and also keeping an account on their sentiments towards the posts. The cybercrime law agencies are searching for solutions to monitor and detect such discussion forums for possible illegal activities and download suspected posting that are in text formats as an evidence. The proposed system will monitor for suspicious postings, collect it from few discussion forums, implement techniques of data mining and extract meaningful data. In this concern, we are focusing on Data mining and Sentiment Analysis to enhance the techniques and to extract the features of the text to represent them

Data mining, sentimental analysis, forums, Stop word Selection, naive bayes

"A STUDY OF SURVEILLANCE ON MONITORING SUSPICIOUS DISCUSSIONS ONLINE FORUMS USING DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.1264-1271, April-2019, Available :http://www.jetir.org/papers/JETIR1904R85.pdf

"A STUDY OF SURVEILLANCE ON MONITORING SUSPICIOUS DISCUSSIONS ONLINE FORUMS USING DATA MINING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp1264-1271, April-2019, Available at : http://www.jetir.org/papers/JETIR1904R85.pdf