Filtration in OSN for Personalized Message

Abstract

In recent year’s online social network (OSN) is popularly increased day by day in the form of sharing, commenting, posting, tagging messages or other data. Today’s condition about unwanted post or unwanted messages in social networking is very bad thing happens when peoples work on social networking then unwanted malicious data is post by any person on their wall. System provides a safety by providing the variety of filtering method for data. Also system gives security to user when someone is repeatedly post or share unwanted data. Reliability is provided by system to user by giving offline security that reduce user’s efforts in always online to safe from unwanted data from OSN wall. For user provide the facility to create a blacklist (BL) which is for block a person for particular duration when he/she irritate from that person’s vulgar messages. Whenever user sends a message or comment on another user wall against his/her wish then recipient user does him/her in blacklist. All this things also covered by Undo function and User can able to undo message. System include two sections that for both peoples in this way those who don’t like unwanted or malicious data and those who want malicious data. Short text classification method is use for finding or filtering malicious data. Stemmer algorithm is use filtered data for word comparison and finding unnecessary data and stop word algorithm use for blocking unwanted words from user OSN wall.