A Survey on Information Retrieval System for Authenticating a Tweet

Abstract

With the growing needs and population, there is tremendous increase in volume of data produced each and every hour. Social sites like Twitter, Facebook etc., produce incredible amount of data and information which are blogs i.e. tweets which are written and updated every minute and second. With this growing data, a need for an Information retrieval system is seen, wherein the essential information or data can be identified and retrieved easily from large databases. Th e collection of information from relevant information resources is Information retrieval system. It is a science of searching data or information in documents also finding documents and also metadata from databases images, text or sounds. As very less search has been done in this field, a need for automated information retrieval system is seen, wherein searching of these documents and information can been done automatically or say using machine learning. In this paper, we proposed a model that will gather data from twitter, in the form of tweets and find whether the given tweet is fake or un fake i.e. spam or not. We will use machine learning algorithms and develop an IR model for it. Our proposed system would be more efficient than the traditions IR models

Keywords: Information retrieval, Artificial neural networks, Tweets