DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports Events Over 2 million developers have joined DZone. Join Today! Thanks for visiting DZone today,
Edit Profile Manage Email Subscriptions Moderation Admin Console How to Post to DZone Article Submission Guidelines
View Profile
Sign Out
Refcards
Trend Reports
Events
Zones
Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
What's in store for DevOps in 2023? Hear from the experts in our "DZone 2023 Preview: DevOps Edition" on Fri, Jan 27!
Save your seat
  1. DZone
  2. Data Engineering
  3. AI/ML
  4. 4 Business Applications for Natural Language Processing

4 Business Applications for Natural Language Processing

Check out four business applications for natural language processing.

Thomas Griffin user avatar by
Thomas Griffin
·
May. 18, 22 · Opinion
Like (5)
Save
Tweet
Share
7.97K Views

Join the DZone community and get the full member experience.

Join For Free


Image title

4 business applications for NLP.

Natural language processing (NLP) is a type of artificial intelligence (AI) that deals with the interaction between humans using natural language and computers. Simply speaking, it’s technology that helps computers understand people’s natural language. It’s not just about picking out a few specific words and spouting out a generalized answer either. Rather, NLP can comprehend meaning and context and provide automated support with a personal touch.

Natural language processing and artificial intelligence were once technologies only available to mega-corporations. But now, small businesses can use NLP and AI to their advantage too. So, are you wondering how you can use NLP to improve the customer experience, streamline processes, and even generate sales?

Here are 4 business applications for natural language processing.

You may also like:  NLP Tutorial Using Python NLTK (Simple Examples)


Chatbots

Chatbots are almost necessary in today’s world because customers want to be able to contact businesses and get answers to their questions 24/7. In fact, according to HubSpot Research, 90% of customers rate an "immediate" response as important or very important when they have a customer service question. And 60% of customers define "immediate" as 10 minutes or less.

Since many businesses can’t provide live chat agents around the clock, chatbots can take their place and offer assistance day and night. When you pair your chatbot with natural language processing, your chatbots are no longer robotic. Instead, they can actually have conversations like a real human.

With NLP, chatbots can recognize the user intent behind the words, identify key data through words related to date, time, location, etc., recognize tense of verbs, and more. Having the ability to understand this type of information allows the chatbot to comprehend what your customers are saying and come up with the best response.

Customer Service

Aside from creating more life-like chatbots, NLP can be used to optimize your customer service as a whole. For example, natural language processing and natural language understanding can improve your interactive voice response (IVR) systems. Instead of having callers hang up in frustration over not being understood by your system, with NLP the system can understand callers in their own words, comprehend context in replies, and even ask callers open-ended questions. This can skyrocket the success of your IVR system and result in more satisfied customers.

Speaking of satisfied customers, natural language processing can also perform sentiment analysis. This will allow you to discover how your customers feel about your brand. NPL can analyze comments or messages on your social media accounts and determine the emotions and feelings behind them like whether it’s positive, negative, or neutral as well as if the underlying mood is happy, sad, annoyed, and so on. Using this information you can make improvements to your business to increase the satisfaction of your customers.

Hiring and Recruiting

Hiring and recruiting can be a costly and time-consuming process. Luckily, with natural language processing, you can find top talent for your company a little bit easier.

For instance, the tool Textio uses natural language processing to help you write stronger job descriptions to attract more qualified candidates. It can also detect biased wording in your hiring content that you weren’t even consciously aware of.

And Mya is an AI and NLP tool that is able to engage with candidates from the beginning of the recruiting process until they’re hired. A tool like this will keep your candidates engaged and streamline the hiring process by handling screening, answering questions from the candidate, schedule interviews, and more.

Advertising

Want to increase the effectiveness of your advertising? With natural language processing you can put your ads right in front of the consumers that are most likely to be interested in what you’re offering. NLP is able to analyze search keywords, browsing behavior, emails, and social media platforms to help your business find potential customers online.

NLP can also improve your copywriting. For instance, Persado uses natural language processing to help you write marketing content that better aligns with your brand voice and can provide insights on which messages are most appealing to your target audience.

Conclusion

As you can see, when computers understand humans, it can have big benefits for your business — and NLP will only get more and more advanced. Start looking into how you can implement natural language processing tools to grow your business more efficiently and effectively.

Further Reading

Natural Language Processing

A Guide to Natural Language Processing (Part 1) 

NLP Processing application AI Interactive voice response Chatbot

Opinions expressed by DZone contributors are their own.

Popular on DZone

  • Last Chance To Take the DZone 2023 DevOps Survey and Win $250! [Closes on 1/25 at 8 AM]
  • Unlocking the Power of Polymorphism in JavaScript: A Deep Dive
  • A Real-Time Supply Chain Control Tower Powered by Kafka
  • Spring Cloud: How To Deal With Microservice Configuration (Part 1)

Comments

Partner Resources

X

ABOUT US

  • About DZone
  • Send feedback
  • Careers
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 600 Park Offices Drive
  • Suite 300
  • Durham, NC 27709
  • support@dzone.com
  • +1 (919) 678-0300

Let's be friends: