About The Course

Humans communicate through some form of language either by text or speech. Now to make interactions between computers and humans, computers need to understand natural languages used by humans. Natural language processing is all about making computers learn, process, and manipulate natural languages.

Some Applications of Natural Language Processing (NLP) in detail

 Voice Assistants like Google Assistant, Amazon Alexa, and Apple Siri

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.

Customer Research

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.

 Email Classification

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.

Financial Research

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 Detection

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.

 Grammar and Spell Check

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.

 Automated Messenger Bots

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.

 Autocomplete Feature in Search

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.

 Career Scope in Natural Language Processing (NLP)

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:

• Statistical Analysis Skills

• Machine Learning Concepts and Methods

• Text Representation Techniques

• Algorithm Analysis Skills

• Computer Programming Languages like Python and R, Java.

• Strong Problem-Solving skills

• Good Communication Skills

• Text Clustering Skills

This  field is highly upcoming, there is a lot of scope for growth.

Conclusion

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

Class Time Table  AIML-5 Semester

 Mon 09:00 AM – 09:55 AM  

Tuesday  9:55 AM – 10:50 AM

Wed  2:40 PM – 03:35 PM

Fri  11:05 AM – 12:55 PM (NLP Lab)

Saturday 11:05 AM – 12:55 PM (Partial Delivery)

Class Time Table  AIDS-7 Semester

 Mon 11:05 AM – 12:00 PM  

Tuesday 12:00 PM – 12:55 PM

Wed  9:55 AM – 10:50 AM

Wed  11:05 AM – 12:55 PM (NLP Lab)