3 / 2017-12-18 14:22:06

Safety and Security issues in Natural Language Processing(NLP) - A Review

Naïve Bayes Filtering,Semantic Analysis. technique,Web Filtering,Image fitering.

The field of natural language processing (NLP) is an
intersection of the study of linguistics,computation and
statistics.In the regularly changing universe of the worldwide
information correspondences, economical web associations
security is winding up increasingly of an issue. To handle
security and safety issues various techniques and methods are
used. Naive- Bayes classifier characterizes a group of basic
probabilistic classifier and depends on Bayes hypothesis with
solid freedom suspicions between the highlights String
matching is a security technique which is used to find the
position of a string within a large string .The substance of the
page against an arrangement of tenets that are given by
organization can be checked by the channels NLP is a tool that
provides safety insight in to the blogs and posts.Image filtering
is a safety technique which is used to apply various effects on
photos.The web filtering system is a program which can screen
an approaching site page and is utilized to decide if a few or
every last bit of it ought not be shown to the client.In this paper
the survey is done on how NLP provides security and safety
issues using various techniques and its methods.