The manuscript evaluation through Artificial Intelligence using Natural Language Processing and Machine Learning

Abstract

Peer reviewing plays an important role if a re-searcher wants to publish his/her manuscript. Peer review is the impartial evaluation of your research article by subject matter experts in your area. Its objective is to assess the manuscript's quality and publishing readiness. This paper will be considering these peer reviews and use computational linguistics to relate them with acceptance of the manuscript. This paper will focus on text conversions in depth and discuss the flow of natural language processing. Natural language processing is a field of computer science and artificial intelligence that studies how computers interact with human languages, In specific it is an automated process of analyzing human language in order to gain information from it. Automation is the ultimate goal for efficiency driven organisations and Natural language processing is playing an important role in it. A machine can fully understand humans only when it communicates it with human language, its like communicating to someone who speaks your native language versus someone who speaks language you hardly can speak or understand. Natural language processing removes this gap. Text processing and text summarization, Automatic translation of languages, user interfaces, speech recognition and expert systems are examples of natural language processing applications. Chal-lenges for processing the complex language system of humans are far too many as human emotions and expressions through voice and body language are not fully decode in data. In near future everyone will have to communicate with a machine for household work as well as space work, so it becomes important to understand the working of Artificial Intelligence and Natural language processing is an important part of it.