Journal Index - Volume III No.1 May 2016 , Special Issue

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  • Title

    :

    STUDY OF A SYSTEM TO FILTER UNWANTED MESSAGES FROM SOCIAL NETWORK

    Authors

    :

    R.Amutha1, Dr.G.Babu2

    Keywords

    :

    Online social networks, Information Filtering, Short text classification, Policy-based personalization, Social network manager, Filter wall, Message learning.

    Issue Date

    :

    June – 2016

    Abstract

    :

    The recent issue in today Online Social Networks (OSNs) is the users does not have any ability to control the message content posted on their own private space to avoid that unwanted content is displayed. Now the proposed system provides that ability to the user control their message content in social network. We propose a system for allowing social network users to have a direct control on the messages posted on their walls. This is done by a flexible rule-based system, that allows users to customize the filtering message content to be applied to their walls, and machine learning based soft classifier automatically labelling messages in support of content-based filtering. These two mechanisms are used to control the unwanted messages on social network user’s wall. The system provides ability to filter messages on user walls in social network. Unwanted messages are blocked by social network user. Once messages are stored in blacked list it automatically filters the message content.

    Page(s)

    :

    1-5

    ISSN

    :

    2347- 4734

    Source

    :

    Vol. III, No.1

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