Information Retrieval using Natural Language Processing

Abstract

Close to 90% of all information is unstructured. Normal methodologies of looking through large collection are full content inquiry and metadata search which aren't efficient. Hence, to overcome this issue a computerised smart framework is required which helps in extracting all the possible keywords in the text. We will be focusing on three major types: Geographical, Resume and Unstructured Data.