A System Approach to Avoid Unwanted Messages using Filtering Methods from OSN User Walls

Internet become more popular in the day to day activity’s of user’s. In recent years online social networks (OSN) also increased rapidly. The user’s can communicate and share their views and content through online social networking services (OSN). The sharing between the users should be several types of content like image, audio, video etc. The main draw-back of these Online Social Networking (OSN) services is the lack of privacy for the user’s own private space. Our experimental evaluation demonstrates the efficacy of the proposed classification system and also we use pattern matching and text classification algorithm for accurate results. In computer science, pattern matching is the act of checking a perceived sequence of tokens for the presence of the constituents of some pattern. The patterns generally have the form of either sequences or tree structures. Uses of pattern matching include outputting the locations of a pattern within a token sequence, to output some component of the matched pattern, and to substitute the matching pattern with some other token sequence.