Filtering Unwanted Text From OSN User Walls Using Static Dataset
Online Social Networks (OSNs) are one of the most powerful medium to interact. This makes OSNs the 21st century communication medium. But in present days, users have less control over the messages posted on their walls. As the author has created a framework, social net which filters unwanted text posted in user’s private space. No techniques or methods are used for text classification; instead some inbuilt functions are used. A social network can be defined as the mapping and measuring of relationships and flows between people, groups, organizations etc. and other connected information/knowledge entities.