A Survey on Natural Language Processing and its Applications
P. J. Beslin Pajila, K. Sudha, D. M. Kalai Selvi, Vivek Kumar, S. Gayathri, R. Sıva Subramanıan
Abstract
Advancements in technologies and the internet help to pave the way to collect and store unstructured data which includes voice, etc. The use of unstructured data in an efficient manner helps to understand the insight of the data and make a decision based on the data. To analyse the unstructured data, natural language processing (NLP) is applied. NLP referred to a subcategory of AI that mainly focus on computers understanding, and interpreting human being language. NLP is developed by combing different fields like linguistics, and computer science which helps the computer to perform as a human does in process in speech and text data. NLP is mostly applied in the application areas like content categorization, contextual extraction, sentiment analysis, document summarization, Machine translation, etc. The objective of the research is to perform an in-depth study about the NLP, its methodology, and applications area with pros and cons. Further, this survey helps new researchers to easily understand the underlying concepts of NLP and its terms.