Content Based Message Filtering System by Using Text Categorization
نویسندگان
چکیده
OSN plays a vital role in day to day life. User can communicate with other user by sharing several types of contents like image, audio and video contents. Major issue in OSN(Online Social Network) is to preventing security in posting unwanted messages. Ability to have a direct control over the messages posted on user wall is not provided. Unwanted post will be directly posted on the public wall. Only the unwanted messages will be blocked not the user. To avoid this issue, BL (Black List) mechanism is proposed in this paper, which avoid undesired creators messages. BL is used to determine which user should be inserted in BL and decide when the retention of the user is finished. Machine Learning Text Categorization is also used to categorize the short text messages. Keywords— Blacklist, online social network, Machine learning text categorization, short text classification.
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