A System to Filter Unwanted Messages from OSN User Walls Along With Opinion Mining

Akanksha Darvekar, Shraddha Dudhe, Darshana Kedar

Abstract


In the recent years, Online Social Network(OSN) has become one way for the entertainment specially for the youngsters. Most of the people use it and its graph is growing day-by-day. The OSN help people to stay connected with each other, share information, views and experience with others. But they doesn’t provide us to have control on our messages that will be post from us and posting of such messages annoys other. A system called Machine Learning is introduced which help to filter the undesirable messages. This system can’t work with images as number of different images can be form. The aim of the present work is to filter the undesirable messages with the help of automated system called Filter Wall. Also the views are shared among the people, so , with the help of opinion mining impact of the category or subject on the people can be easily known. With the help of the datasets that are already that are fed to the system Positive , Negative and Neutral views can be computed.
Keywords-Online Social Network; Machine Learning; Filter Wall; Opinion Mining.

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Copyright (c) 2016 Akanksha Darvekar, Shraddha Dudhe, Darshana Kedar

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