automated mapping of disaster event across location using social media a hybrid machine learning approach
PRIYADHARSHINI S,SWATHY R,REVATHI M
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:6 Issue:3 Year: 18 April,2025 Pages:1983-1989
Abstract
In Automated system mapping of disaster event across location using social media platform a Spam Comment Detection and User Blocking System for a social media web application, designed to enhance user experience and maintain a secure online environment. Users can register login and send friend requests, chat, and post text or images, which may receive likes, dislikes, and comments. This project employs an advanced classifier algorithm to detect and filter negative or spam comments in both the chat and post sections. If a user exceeds 05 spam attempts, their IP address is blocked, preventing further access to the platform. Users can also create and share local events, which are visible to other users. The admin has oversight capabilities, including viewing user activity, managing events, and monitoring time spent on the platform through graphical analysis and also intervene by sending warnings to users displaying addictive behavior. Integrates HAM algorithms and Bloom Filter data structures to improve spam detection efficiency and ensure optimal performance
Kewords
Spam comment detection,User blocking, Advanced Classifier algorithm, Bloom filter data structure,The HAM Algorithm,Secure online Environment,Addictive behavior,Graphical Analysis, IP Address Blocking.
Reference
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