NATURAL LANGUAGE PROCESSING AND SENTIMENT ANALYSIS

Abstract

Natural Language Processing is one of the branches of Artificial Intelligence that has only recently entered the spotlight. Apple Siri, Amazon Alexa, and, more recently, Google Duplex are just a few of the most well-known instances of NLP in work, with the technology delivering outstanding human-machine interactions. By 2023, there are estimated to be eight billion digital voice assistants in use, owing to their popularity. With such a large-scale use, the data generated from these interactions would also be immense. This untapped goldmine of data can be used to further research and development of Natural Language Processing and can be used in many industries such as healthcare, technology, business etc. Sentiment analysis, with the help of Natural Language Processing can help industries process these huge datasets faster and efficiently and can be used, for example, in the healthcare industry to diagnose patients and develop diagnostic models for detecting chronic disease in its early stages. Web 2.0 has allowed massive user data to be generated which can be tapped to extract valuable information for various reasons that an individual, policy maker(s), organizations and Governments might need.