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5 Amazing Examples
Of Natural Language Processing
(NLP) In Practice
© 2018 Bernard Marr, Bernard Marr & Co. All rights reserved
Title
Text
IntroductionIntroduction
One of the most challenging and revolutionary things artificial intelligence (AI) can do is
speak, write, listen, and understand human language. Natural language processing
(NLP) is a form of AI that extracts meaning from human language to make decisions
based on the information. This technology is still evolving, but there are already many
incredible ways natural language processing is used today. Here we highlight some of
the everyday uses of natural language processing and five amazing examples of how
natural language processing is transforming businesses.
5 Amazing Examples Of Natural Language
Processing (NLP) In Practice
© 2018 Bernard Marr, Bernard Marr & Co. All rights reserved
Title
Text
IntroductionIntroduction
Every day, humans exchange countless words with other humans to get all
kinds of things accomplished. But communication is much more than words—
there's context, body language, intonation, and more that help us understand
the intent of the words when we communicate with each other. That's what
makes natural language processing, the ability for a machine to understand
human speech, such an incredible feat and one that has huge potential to
impact so much in our modern existence. Today, there is a wide array of
applications natural language processing is responsible for.
5 Amazing Examples Of Natural Language
Processing (NLP) In Practice
© 2018 Bernard Marr, Bernard Marr & Co. All rights reserved
Many of us have virtual assistants in the form of the Amazon Echo or Google Home in our
everyday lives and have enjoyed being able to interact with a computer through a
conversational interface enabled by natural language processing. Many businesses are
exploring how conversational interfaces can be transformational because the technology is
platform agnostic, can continuously learn and offers customers a frictionless experience.
Natural language processing is behind the scenes for several things you may take for granted
every day. When you ask Siri for directions or to send a text, natural language processing
enables that functionality.
Here are some more applications of natural language processing:
Email assistant: Auto-correct, grammar and spell check, as well as auto-complete, are all
functions enabled by NLP. The spam filter on your email system uses NLP to determine what
emails you’d like to keep in your inbox and what are likely spam and should be sorted out.
Everyday Functions of Natural Language
Processing
© 2018 Bernard Marr, Bernard Marr & Co. All rights reserved
Answering questions: If you have shopped online or interacted with a website chat box, you
likely were interacting with a chatbot rather than a human. These AI customer service gurus
are actually algorithms that use natural language processing to be able to understand your
query and respond to your questions adequately, automatically, and in real-time.
Drives e-commerce: NLP allows for better search results when you shop online. It is becoming
adept at deciphering the intent of your message even if there are spelling errors or important
details you omit in your search terms. By searching online, you are actually adding to the
customer data available that help retailers learn your habits and preferences and therefore
respond to them. In fact, Gartner predicts that 85 percent of customer interactions will be
managed without humans by 2020.
Extract and summarize information: Natural language processing can extract and synthesize
information from a variety of text sources such as news reports, user manuals, and more. After
getting info, it can use what it understood to make decisions or take action based on
algorithms.
Everyday Functions of Natural Language
Processing
© 2018 Bernard Marr, Bernard Marr & Co. All rights reserved
1. Natural language processing helps the Livox app be a communication device for people
with disabilities. The creation of Carlos Pereira, a father who developed the app to help his
non-verbal daughter, who has cerebral palsy communicate, the customizable app is now
available in 25 languages.
2. Another tool enabled by natural language processing is SignAll that converts sign
language into text. This can help individuals who are deaf communicate with those who don’t
know sign language.
3. Machine translation is a huge application for NLP that allows us to overcome barriers to
communicating with individuals from around the world as well as understand tech manuals
and catalogs written in a foreign language. Google Translate is used by 500 million people
every day to understand more than 100 world languages.
4. Natural language processing technology is even being applied for aircraft maintenance.
Not only could it help mechanics synthesize information from enormous aircraft manuals it
can also find meaning in the descriptions of problems reported verbally or handwritten from
pilots and other humans.
5. While the issue is complex, there’s even work being done to have natural language
processing assist with predictive police work to specifically identify the motive in crimes.
5 Amazing Examples of Natural Language
Processing
© 2018 Bernard Marr, Bernard Marr & Co. All rights reserved
As industry leaders continue to experiment and develop enhancements to natural language
processing such as Amazon’s Alexa division using a neural network to transfer learning, we
can expect that NLP will become even better and more influential for business in the very near
future.
5 Amazing Examples Of Natural Language
Processing (NLP) In Practice
© 2017 Bernard Marr , Bernard Marr & Co. All rights reserved
© 2018 Bernard Marr, Bernard Marr & Co. All rights reserved
Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website
© 2017 Bernard Marr , Bernard Marr & Co. All rights reserved
© 2018 Bernard Marr, Bernard Marr & Co. All rights reserved
Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website
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touch!
© 2018 Bernard Marr, Bernard Marr & Co. All rights reserved
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5 Amazing Examples Of Natural Language Processing (NLP) In Practice

  • 1. 5 Amazing Examples Of Natural Language Processing (NLP) In Practice
  • 2. © 2018 Bernard Marr, Bernard Marr & Co. All rights reserved Title Text IntroductionIntroduction One of the most challenging and revolutionary things artificial intelligence (AI) can do is speak, write, listen, and understand human language. Natural language processing (NLP) is a form of AI that extracts meaning from human language to make decisions based on the information. This technology is still evolving, but there are already many incredible ways natural language processing is used today. Here we highlight some of the everyday uses of natural language processing and five amazing examples of how natural language processing is transforming businesses. 5 Amazing Examples Of Natural Language Processing (NLP) In Practice
  • 3. © 2018 Bernard Marr, Bernard Marr & Co. All rights reserved Title Text IntroductionIntroduction Every day, humans exchange countless words with other humans to get all kinds of things accomplished. But communication is much more than words— there's context, body language, intonation, and more that help us understand the intent of the words when we communicate with each other. That's what makes natural language processing, the ability for a machine to understand human speech, such an incredible feat and one that has huge potential to impact so much in our modern existence. Today, there is a wide array of applications natural language processing is responsible for. 5 Amazing Examples Of Natural Language Processing (NLP) In Practice
  • 4. © 2018 Bernard Marr, Bernard Marr & Co. All rights reserved Many of us have virtual assistants in the form of the Amazon Echo or Google Home in our everyday lives and have enjoyed being able to interact with a computer through a conversational interface enabled by natural language processing. Many businesses are exploring how conversational interfaces can be transformational because the technology is platform agnostic, can continuously learn and offers customers a frictionless experience. Natural language processing is behind the scenes for several things you may take for granted every day. When you ask Siri for directions or to send a text, natural language processing enables that functionality. Here are some more applications of natural language processing: Email assistant: Auto-correct, grammar and spell check, as well as auto-complete, are all functions enabled by NLP. The spam filter on your email system uses NLP to determine what emails you’d like to keep in your inbox and what are likely spam and should be sorted out. Everyday Functions of Natural Language Processing
  • 5. © 2018 Bernard Marr, Bernard Marr & Co. All rights reserved Answering questions: If you have shopped online or interacted with a website chat box, you likely were interacting with a chatbot rather than a human. These AI customer service gurus are actually algorithms that use natural language processing to be able to understand your query and respond to your questions adequately, automatically, and in real-time. Drives e-commerce: NLP allows for better search results when you shop online. It is becoming adept at deciphering the intent of your message even if there are spelling errors or important details you omit in your search terms. By searching online, you are actually adding to the customer data available that help retailers learn your habits and preferences and therefore respond to them. In fact, Gartner predicts that 85 percent of customer interactions will be managed without humans by 2020. Extract and summarize information: Natural language processing can extract and synthesize information from a variety of text sources such as news reports, user manuals, and more. After getting info, it can use what it understood to make decisions or take action based on algorithms. Everyday Functions of Natural Language Processing
  • 6. © 2018 Bernard Marr, Bernard Marr & Co. All rights reserved 1. Natural language processing helps the Livox app be a communication device for people with disabilities. The creation of Carlos Pereira, a father who developed the app to help his non-verbal daughter, who has cerebral palsy communicate, the customizable app is now available in 25 languages. 2. Another tool enabled by natural language processing is SignAll that converts sign language into text. This can help individuals who are deaf communicate with those who don’t know sign language. 3. Machine translation is a huge application for NLP that allows us to overcome barriers to communicating with individuals from around the world as well as understand tech manuals and catalogs written in a foreign language. Google Translate is used by 500 million people every day to understand more than 100 world languages. 4. Natural language processing technology is even being applied for aircraft maintenance. Not only could it help mechanics synthesize information from enormous aircraft manuals it can also find meaning in the descriptions of problems reported verbally or handwritten from pilots and other humans. 5. While the issue is complex, there’s even work being done to have natural language processing assist with predictive police work to specifically identify the motive in crimes. 5 Amazing Examples of Natural Language Processing
  • 7. © 2018 Bernard Marr, Bernard Marr & Co. All rights reserved As industry leaders continue to experiment and develop enhancements to natural language processing such as Amazon’s Alexa division using a neural network to transfer learning, we can expect that NLP will become even better and more influential for business in the very near future. 5 Amazing Examples Of Natural Language Processing (NLP) In Practice
  • 8. © 2017 Bernard Marr , Bernard Marr & Co. All rights reserved © 2018 Bernard Marr, Bernard Marr & Co. All rights reserved Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a strategic business & technology advisor to governments and companies. He helps organisations improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence, big data, blockchains, and the Internet of Things. LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent contributor to the World Economic Forum and writes a regular column for Forbes. Every day Bernard actively engages his 1.5 million social media followers and shares content that reaches millions of readers. Visit The Website © 2017 Bernard Marr , Bernard Marr & Co. All rights reserved © 2018 Bernard Marr, Bernard Marr & Co. All rights reserved Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a strategic business & technology advisor to governments and companies. He helps organisations improve their business performance, use data more intelligently, and understand the implications of new technologies such as artificial intelligence, big data, blockchains, and the Internet of Things. LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent contributor to the World Economic Forum and writes a regular column for Forbes. Every day Bernard actively engages his 1.5 million social media followers and shares content that reaches millions of readers. Visit The Website
  • 9. Title Subtitle Be the FIRST to receive news, articles, insights and event updates from Bernard Marr & Co straight to your inbox. Signing up is EASY! Simply fill out the online form and we’ll be in touch! © 2018 Bernard Marr, Bernard Marr & Co. All rights reserved