A Survey on Knowledge Analytics of Texts from Social media

Abstract

Actionable knowledge discovery is a closed optimization problem solving process from problem definition. It is used to extract the actionable data that are usable. Social media still contain many comments that cannot be directly acted upon. If we could automatically filter out such noise and only present actionable comments, decision making process will be easier. Automatically extracting actionable knowledge from on line social media has attracted a growing interest from both academia and the industry. This paper gives a study in the systems and methods available text from the social media like twitter or facebook.