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.
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