Notifying and filtering undesirable messages from online social network (OSN)

Nowadays, we have a standard communicating source i.e. On-line Social Networks which are used to share, link and broadcast the substantial quantity of the data of human being´s life. Constant and day-to-day communication infers the interchange of numerous kinds of information, comprising image, unrestricted text, video and audial information. A chief portion of social network content is established through the text of short, a notable sample are the mails eternally printed by users of OSN on specific private and public zones, named in common walls. This work recommends the system which imposes the screening process of content-based information and it is considered as a vital provision for OSN. This scheme permits the users of OSN to take a straight supervision on the messages which are mailed on the OSN user´s walls. This is attained by the scheme of flexible rule-based, which permits a user to change the screening norms to be practiced to the OSN user´s walls, and applied the tool of soft classifier i.e. Machine Learning spontaneously creating membership tags in provision of the process of filtering based on content.