How NLP Will Change the World in the Near Future
NLP — Natural Language Processing
Natural Language Processing is a subset of Artificial Intelligence that comprises techniques for understanding human language by computer programs. NLP has been used in applications such as voice recognition, speech recognition, speech synthesis, text-to-speech systems, machine translation, information retrieval and summarization.
Machines and humans continue to collaborate and learn from each other. The more we teach them about our language, the more they teach us back.
NLP is also used in many other applications including customer service chatbots and personal digital assistants like Siri and Google Assistant.
https://medium.com/@mallrishabh52/natural-language-processing-2913817282c1
NLP Benefits
NLP is not just a buzzword. It is the newest and most important technology in customer service and it has already proven its worth. NLP and Machine Learning-based AI will help with online customer service by understanding what customers want to know, providing them with accurate answers, solving their problems and making interactions more human.
Some companies have started using these types of AI assistants as well as chatbots for their customer service teams. The result is that they are now making record profits thanks to the increase in efficiency that these technologies bring.
NLP In Business
Businesses are looking for new ways to differentiate themselves from their competitors. One way they can do this is by implementing natural language processing (NLP) into their business. Not only will NLP give customers a more personalized experience, but businesses can also use it to increase revenue and become more efficient.
The natural language processing market is expected to grow at a CAGR of 36.71% by 2021
In recent years, the growth in the natural language processing market has been driven by the emergence and rise of chatbots and other virtual assistants, as well as increased demand for text input systems for wearable devices.
<a href=”https://storyset.com/home">Home illustrations by Storyset</a>
Businesses that have started to embrace NLP have seen a rise in efficiency and customer satisfaction. NLP is especially helpful for businesses with a lot of data, as it can help them make sense of the data and generate insights about the business. It also provides personalization for customers through chatbots or voice assistants, which leads to higher customer retention rates and increased revenue.
The future is here! Artificial intelligence has come a long way and is now able to understand human behavior and emotion, teaching us back.
Uses of NLP
NLP is a technology that analyzes language, extracts the meaning, and then converts it into action. It is not only used in customer service but also in marketing, advertising, journalism, education, and many other industries.
NLP is being used by companies for many different purposes. Some use it to analyze their customers’ queries and contacts to improve customer service efficiency. Others use it to advance their product through analytics of the company’s marketing efforts. NLP is also used in both education and journalism to make life easier for people who are not native English speakers.
A few of the most common applications of NLP include:
- Customer service software
- Marketing
- Advertising
- Journalism
- Education
NLP in Customer Service
Technological advancements in customer service have led to the development of chatbots. These chatbots are able to understand natural language and respond accordingly. This makes it easier for customers to communicate with companies without having to figure out how to navigate complicated messaging systems or having to wait for someone to pick up the phone.
Chatbots also have the ability to answer common questions that customers may have without them having to look it up themselves. The NLP technology used in these chatbots is able to learn from the conversations they have with different customers and learn what kind of information they are looking for, which means they can provide better customer service as time goes on.
NLP in Marketing
NLP is a computer programming approach that enables machines to understand human language. In marketing, NLP is used to analyze the texts and tone of voice for different brands and products. The analyses can be used to identify what kind of customer a company is targeting and optimize the marketing strategy accordingly.
NLP in Advertising
Language has always been an integral part of human communication. The use of language in advertising has grown in importance over time. Natural Language Processing (NLP) is the analysis, interpretation, and manipulation of natural languages, mainly texts, with the help of computers. It is a very powerful concept that can be used for different purposes in advertising.
NLP can be used to analyze the effectiveness of an ad just by analyzing its copy or to help people search for content on a website using keywords. Moreover, it can also be used to understand how people feel about a company just by reading their reviews about their products online or it can even be used to create personalized ads based on what you are browsing online!
NLP in Journalism
This field has been used in journalism for quite some time now, with journalists using it to better understand how their audience is responding to their articles. We can now see how this field has started to move into the public sphere with Facebook’s News Feed now using natural language processing to identify what is important for us and what we need to read next.It still seems like this technology is in its infancy, so there are many opportunities for journalists to branch out and use it in new ways.
NLP in Education
One of the applications of natural language processing is in education. In this application, natural language processing is capable of detecting the student’s level from their writing and from that point on, it can help them improve their writing skills accordingly. The skills that an AI writer might be able to help a student with are sentence structure, syntax and grammar.
Data democratization has also impacted the education sector. With a need for a more customized education system, students have been able to use natural language processing tools to tailor-make their academic pathways according to their needs and desires.
Python in NLP
We can teach a computer to read and understand the human language! It’s pretty amazing. Python is a powerful programming language that can be enhanced with Natural Language Processing techniques for computational linguistics.
NLP-enable your apps, make decisions on an unprecedented scale and even use your voice to control devices using Python. Create tools for the next generation of technology while learning the basics of programming.
CodeGeeko- Teaching Python Program
CodeGeeko is a company that teaches Artificial Intelligence to kids in Python programming. They have designed this program for kids aged between 8–14 years so they can have the necessary skill set to be able to code. This program has been designed in collaboration with professional programmers so it focuses on teaching children the basic skill set required for future careers in coding. The way CodeGeeko works is by teaching kids about Artificial Intelligence and how it’s used in the real world, and then teaching them how to code using Python programming languages. (www.codegeeko.com)
