Simplified Framework of Natural Language Processing for Structure Management of Current-Age Data

Abstract

The adoption of natural language processing has become one of the essential part of artificial intelligence. Although, the conventional concept of natural language processing has been researched from more than a decade but still the better results are yet to arrive. Review of existing literatures shows the cases where case specific studies are carried out which still doesn’t address the problem associated with lightweight computational model. Therefore, the proposed study introduces a simplified modeling of natural language processing which is capable of handling the unstructured data unlike existing system without scoring any dependencies on extra resources or cost. The study also introduces an integrated syntactical-based and semantic-based which is quite novel and simplified in its form. The study outcome shows that it offers almost instantaneous response time for all the internal processes.