INFORMATION EXTRACTION USING NATURAL LANGUAGE PROCESSING

Abstract

The expanding volume of data/Information creates a new challenge for Information Extraction techniques. The amount of unstructured data has increased in recent years. When we use this data in a clean and better way, we can extract wide variety of beneficial outcomes. Reduction of a text to its essential content, is a very complex problem which, despite the progress in the area thus far, poses many challenges to the scientific community. It is also a relevant application in today’s information society given the enormous amount of production and processing of data, leading to exponential growth of textual information online and the need to momentarily assess the contents of text collections. Information Extraction using Natural Language Text is used to process, or extract and encode information from unstructured data and produce desired output data according to the application. This review article is about how Information Extraction is done using NLP (Natural language Processing)