Open AccessPerformance analysis of a keyword search system
Author(s) -
Mustafa Abdalrassual Jassim
Publication year - 2018
Publication title -
journal of university of babylon for engineering sciences
Language(s) - English
Resource type - Journals
ISSN - 2616-9916
DOI - 10.29196/jub.v26i3.628
Subject(s) - computer science , keyword search , keyword density , word (group theory) , information retrieval , set (abstract data type) , keyword extraction , process (computing) , social media , world wide web , natural language processing , linguistics , philosophy , programming language , operating system
Data mining is the process of discovering patterns in a data set by keyword. Keyword search is the most effective way to discover information in documents. But somewhere, sometimes just searching for a keyword is not enough; with research restricting that keyword has become a necessity. Like in social media abuse of word is increasing. Many systems worked on only detecting an inappropriate word; not on restriction of that word. So here in this paper keyword search method is proposed for social media which not only finds the inappropriate words, but also restrict that word from publishing on the media.