Advancements in computer science has made it possible for humans to interact with machines in their natural language either in written or spoken manner, this is possible with the help of NLP. Natural language generation or energy and natural language understanding or NL you are the two main components of NLP natural language processing helps organizations reduce customer effort improve the organization's analytical capabilities and enable advanced automation, earlier NLP was limited only to text messages now it has become more popular for voice as well it can understand the language emotion and sentiment of what a person is writing or talking about, it helps in the space of automatic speech recognition and natural language processing in Indic languages for building voice assistants and speech analytics.
NLP is also used to scan users email inboxes for signs of meeting requests with an app called woven, it's virtual assistant generates suggested times to meet and send emails to attendees to select a time option, according to research by Gartner; a quarter of all companies will have integrated a virtual customer assistant or a chatbot using some form of NLP into their customer service by 2020. In the future NLP will be used for email assistance which is an autocorrecting grammar of spellcheck AI Chatbots, Sign AI, which is a sign language translator and Predictive police work. NLP in healthcare and life sciences is projected to grow at the cagr of 21.2% between 2018 and 2025.


Job Trends:
Companies hiring for NLP and voice technology are JP Morgan, Microsoft, Amazon, Dell, Target and So on.

 

Skills Required:
 R, Text Mining, Machine Learning,  Deep Learning and much more are some of the requirements of NLP.