date_rangeMay 28, 2020
Natural Language Processing (NLP) is a field that provides machines with the ability to understand natural human language.
Natural language processing is a subfield of linguistics, computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human languages, in particular how to program computers to process and analyze large amounts of natural language data. – Wiki
Developers can make use of NLP to perform tasks like speech recognition, sentiment analysis, translation, auto-correct of grammar while typing, and automated answer generation. NLP is a challenging field since it deals with human language, which is extremely diverse and can be spoken in a lot of ways. Developers make use of NLP Algorithms to implement functionalities.
Voice Assistants have become quite popular with the advancement of technology. They use voice recognition, NLP, and speech synthesis to communicate with human beings successfully. Voice Assistants can perform a lot of tasks like making calls, answering questions, playing our favorite song, searching for something on the internet, etc.
They have been around for many years now, with Apple's Siri was released with iPhone 4s in the year 2011.
Many companies are turning to NLP to perform Sentiment Analysis that can provide an understanding of customer's buying habits, their likes, whether their comments are positive or negative, etc. Valuable insights come from understanding the customers better. The increase in social media usage has tremendously helped in Sentiment Analysis. Based on the customer's habits, the business can make marketing and sales decisions.
Popular Email providers use NLP algorithms to understand the tone of each email and segregate our inbox accordingly. Many emails are automatically sent into the Spam folder based on careful analysis by NLP algorithms. Automatic segregation of emails helps people save a lot of time and energy. With the immense progress of technology, gone are the days when we had to manually scan through every email. Popular email providers using such techniques are Gmail and Yahoo Mail.
NLP analyzes people's comments and views about a particular subject and provides valuable knowledge to Financial traders and companies. It can be used to track news and global happenings. Algorithms can use the information to improve the profits of businesses.
Fake news has become a significant problem across the world today, with an increase in social media usage. Fake news has been looked upon as a considerable issue and causes unnecessary stress and worry among people. NLP Algorithms can analyze the language and detect if it is trustworthy or not. This is extremely helpful in times when the world is facing issues like a global pandemic or a natural disaster like a cyclone.
Whether it is writing a blog, or sending an email, grammar is essential. A well-written post or email makes a positive difference in the reader. In the olden days, people used to check for grammar and spelling manually. These days, with the growth of NLP, automatic grammar and spell checks have become popular. They are much faster, more precise, and instrumental while writing long articles or sending important emails. An example of a software that helps with automatic grammar check is Grammarly that is very user-friendly and helpful.
Many websites have chatbots that efficiently communicate with users. Many food delivery operators like Dominos, etc. provide automated chat options to users to place their orders. With more and more experience, these chatbots are providing user-friendly communication.
When we search for a particular text in Google search, we can see the autocomplete feature working. This makes it easy for us since we don't have to type everything; we can just select from the list of suggestions. NLP and the study of languages make it possible for the server to provide recommendations to us.
NLP has a broad scope, with so many uses in customer service, grammar check software, business marketing, etc. If you are interested in computing and languages, then NLP is a good career option for you. You can consider career options like NLP Engineer, NLP Architect, etc.
Top skills needed for becoming an NLP Engineer are:
The average salary for Natural Language Processing skills in the US is USD 107k. Since this field is highly upcoming, there is a lot of scope for growth.
NLP is one of the growing technologies. With constant innovation and research going on in this field, it is only expected to grow in the future. Since this is such an upcoming field, there is a dire need for skilled professionals. If you are interested in working on making computers learn and understand human language, then this is a good time to upskill yourself. NLP offers good prospects and is a high paying field.
Coding Elements offers courses in technologies like Python for Data Science, Data Science with R, Machine Learning and Deep Learning, Full Stack Web Development, Mobile App Development. Their curriculum is created based on the latest industry trends and is taught by expert faculty. We provide the best LIVE classroom and Online classes. The classes are very flexible and come with an access period of 4 years.
Related Topics:
Top Skills Needed for Learning Machine Learning and Applied AI
Exciting Machine Learning Project Ideas for Beginners
The Key Differences Between Data Science and Machine Learning
The Top 5 Jobs in Artificial Intelligence and Machine Learning
What You Must Know Before You Dive Into Machine Learning
Transformation of Agriculture Sector by Artificial Intelligence (AI)
How Artificial Intelligence (AI) Powers Restaurant Businesses
The Top 6 Artificial Intelligence (AI) Trends in 2020
The Role of Artificial Intelligence (AI) in COVID-19 Battle
Share that you have read this blog