Topic Analysis by Detecting Keywords

Abstract

 Finding  prominent topic in a collection of documents is one of the efficient task that must do in a proper way. We here propose a system to detect topic from a collection of document. We use an efficient method to discover topic in a collection of documents known as topic model. A topic model is a type of statistical model for discovering topics from collection of documents. This system will help the web users to easily search information for particular topic. When the user will search for particular topic, system will extract various keywords from the set of documents which will match topic name mentioned by the web user and will cluster the keywords and will provide topic related information to the user. Web users will get information quickly for respective topic they are searching for.