WEB MINING FOR SUSPICIOUS KEYWORD PROMINENCE
Rakshit Bhatt
, Ayush Garg , Mayank Tiwari , Mayank Goel , Siddhshwari Dutt Mishra
Web mining, Data extraction, Tags removal, Dictionary approach
The exponential growth of online data and content in recent times has precipitated a surge in malicious activities, including the incitement of youth to engage in illegal behaviour ,exposure to unsuitable material, propagation of false information, hate speech, and other related concerns. Therefore, there is a demand for efficient web content screening mechanisms. The detection and mitigation of these threats necessitate the deployment of sophisticated and complex techniques capable of efficiently processing large volumes of web data. This research project proposes a web mining strategy for identifying suspicious keyword prominence related to harmful activities and topics, with the aim of developing a proactive approach to mitigating online threats.
"WEB MINING FOR SUSPICIOUS KEYWORD PROMINENCE", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 10, page no.543 - 548, October-2024, Available :https://ijsdr.org/papers/IJSDR2410061.pdf
Volume 9
Issue 10,
October-2024
Pages : 543 - 548
Paper Reg. ID: IJSDR_212611
Published Paper Id: IJSDR2410061
Downloads: 000347094
Research Area: Engineering
Country: Faridabad, Haryana, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
