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Filtering unwanted posts from online social networks (OSN)
Publication year - 2021
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2021/161032021
Subject(s) - gadget , computer science , set (abstract data type) , filter (signal processing) , world wide web , index (typography) , matching (statistics) , class (philosophy) , space (punctuation) , sample (material) , line (geometry) , collaborative filtering , recommender system , internet privacy , artificial intelligence , mathematics , algorithm , statistics , chemistry , geometry , chromatography , computer vision , programming language , operating system
Now a days, unexpectedly growing using on-line social networks (OSNs). Through this offerings user’s can speak and switch any data. The important thing downside of those Online Social Networking (OSN) offerings is the dearth of privateness for the user’s personal space. We use sample matching and textual content class set of rules for correct filtering results. We suggest a gadget permitting OSN customers to own a right awaymanages at the messages published on their walls. It might be a bendy region that rule primarily based totally gadget are used to lets in customers to customize the filtering procedure implemented to their user’s profiles. A system gaining knowledge of method robotically labeling messages in help of content-primarily based totally filtering. Index Terms: content-primarily based totally filtering, filtering rule, filtering gadget, system gaining knowledge of, on-line social networks

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