What is Natural Language Processing? Definition and Examples

NLP uses artificial intelligence and machine learning, along with computational linguistics, to process text and voice data, derive meaning, figure out intent and sentiment, and form a response. As we’ll see, the applications of natural language processing are vast and numerous. Natural language processing (NLP) is one of the most exciting aspects of machine learning and artificial intelligence. In this blog, we bring you 14 NLP examples that will help you understand the use of natural language processing and how it is beneficial to businesses. Through these examples of natural language processing, you will see how AI-enabled platforms understand data in the same manner as a human, while decoding nuances in language, semantics, and bringing insights to the forefront.

While tokenizing allows you to identify words and sentences, chunking allows you to identify phrases. Some sources also include the category articles (like “a” or “the”) in the list of parts of speech, but other sources consider them to be adjectives. Part of speech is a grammatical term that deals with the roles example of natural language words play when you use them together in sentences. Tagging parts of speech, or POS tagging, is the task of labeling the words in your text according to their part of speech. Fortunately, you have some other ways to reduce words to their core meaning, such as lemmatizing, which you’ll see later in this tutorial.

Natural Language Processing (NLP)

This difference means that, traditionally, it’s hard for computers to understand human language. Natural language processing aims to improve the way computers understand human text and speech. Natural language capabilities are being integrated into data analysis workflows as more BI vendors offer a natural language interface to data visualizations. One example is smarter visual encodings, offering up the best visualization for the right task based on the semantics of the data. This opens up more opportunities for people to explore their data using natural language statements or question fragments made up of several keywords that can be interpreted and assigned a meaning.

Whether it’s through Siri, Alexa, Google Assistant or other similar technology, many of us use these NLP-powered devices. There are, of course, far more steps involved in each of these processes. A great deal of linguistic knowledge is required, as well as programming, algorithms, and statistics. However, as you are most likely to be dealing with humans your technology needs to be speaking the same language as them.

Named Entity Recognition (NER):

But how would NLTK handle tagging the parts of speech in a text that is basically gibberish? Jabberwocky is a nonsense poem that doesn’t technically mean much but is still written in a way that can convey some kind of meaning to English speakers. So, ‘I’ and ‘not’ can be important parts of a sentence, but it depends on what you’re trying to learn from that sentence. If you want to integrate tools with your existing tools, most of these tools offer NLP APIs in Python (requiring you to enter a few lines of code) and integrations with apps you use every day. For example, NPS surveys are often used to measure customer satisfaction.

What Is Automated Customer Service? How To Guide for Humans

With Zendesk, you can streamline customer service right out of the box using powerful AI tools that can help quickly solve customer problems both with and without agent intervention. Our final advantage of automated customer service is likely the one that gets overlooked most often — its positive impact on a business’s bottom line. Roughly 80% of customers prefer communicating with brands that offer a consistent experience across all channels. Automation is a surefire way to ensure shoppers get the omnichannel service they’re expecting.

We know integrations help your team get more done, which is why we continue to focus on building our repertoire of integrations. With that said, technology adoption in this area still has a way to go and it won’t be replacing human customer service agents any time soon (nor should it!). Artificially intelligent chatbots aren’t just for Fortune 500 companies. Start-ups and growing businesses—even small businesses—can now employ AI technology to improve daily operations and connect with their customers. The real problem with customer support automation lies with an over-reliance on technology to do the jobs best left for real, live people.

What are the best practices for achieving automation in customer service?

This empowers customer service and support reps to be more effective and efficient when Conversational AI releases them from the burden of routine activities. Sentiment analysis actually registers and identifies the emotional tenor of a customer, and it’s becoming a part of the customer service measure. The utility is flagging a customer who may be upset and then alerting a team leader or agent to interject and de-escalate the situation. With these metrics in hand, you’ll be equipped to optimize your knowledge base, create captivating content, and provide your customers with the answers they need. This metric allows you to gauge just how effective your chatbot is at handling customer concerns.

• With automation, you can offer tireless support 24/7, no matter where your customers are or their time zone.
• You need software for that, of course — your CRM, your marketing platform, or even your chatbot can handle correct routing of queries.
• When you’re a small business, doing more with less is the name of the game.

If you can anticipate customer concerns before they occur, you can provide proactive support to make the process easier. For example, send tracking numbers and updates when advantages of automated customer service the product ships or delays happen. In contrast, canned replies are a phenomenal way to make replying to customers more efficient, faster, and easier for everyone involved.

Cut the cost of customer service

Support agents can then use those templates in their replies to customers, with a modest amount of personalization. A canned response is one of the easiest ways to automate a small part of your customer service. With email templates, your support team can respond faster, save time, and uphold a consistently high standard for responses. Even if you already have data from service and sales reps, social media, Net Promoter Scores, and Customer Effort Scores, you may not have optimal insight. Similarly, if a person has repeatedly struggled to get the service they need from a human, they may elect to use automated customer service as often as they can. You don’t need to overwhelm your team and customers by completely revolutionizing how you provide support.

Exploring the Future of Hotels:  Meet our AI Chatbot

Yes, the WhatsApp Chatbot can recommend additional services like spa appointments, dining reservations, or sightseeing packages to customers via their WhatsApp. Rule-based bots are cost-effective, making them great for smaller hotels or those just starting with automation. Plus, since you define all possible interactions upfront, there’s less risk of misunderstanding or miscommunication. Viqal prioritizes data security and guest privacy by adhering to stringent industry standards and best practices. The system is designed to ensure that all guest data is encrypted, both in transit and at rest, and complies with relevant regulations such as GDPR. Viqal employs regular security audits and updates to safeguard information against unauthorized access or breaches.

• Ease staff workload, reduces staff burnout and reduce staff turnover by automating repetitive tasks, leading to happier, more engaged employees.
• Trello has long been a favorite for these needs with its Kanban-based approach.
• Guests can access their portal to view important details such as check-in information, registration cards, and Wi-Fi passwords.
• Whether it’s requesting additional amenities, inquiring about nearby attractions, or reporting a maintenance issue, chatbots are there to provide quick and efficient solutions.

Additionally, these chatbots can be a powerful lead generation source, converting new leads into customers through follow-up processes or targeted marketing campaigns. Virtual assistants, digital assistants, virtual concierges, conversational bots, and AI chatbots are all different names for chatbots. A January 2022 study that surveyed hoteliers worldwide identified that independent hotels increased their use of chatbots by 64% in recent years. Chatbot solutions for hotels are adept at managing frequently raised queries. They autonomously handle 60-80% of common questions, enhancing operational efficiency. The automation allows staff to concentrate on more intricate tasks and deliver personalized service.

What is a hotel chatbot?

Sherabot can showcase hotel features, services, amenities, and local attractions. Users can place orders for food and beverages right chatbot hotel from the chatbot itself. For any issues that the user may encounter, Sherabot lets them contact the HelpDesk for further assistance.

For example, a chatbot can be integrated with room service POS software to facilitate in-room dining. They can help guests order food, track the status of their order, tip the service staff, and even leave a review. Getting stuck in line behind a group of other guests is never fun, especially when the checkin process is long.

Shaping the Future: Hotel Chatbots Emerging Trends

From effortless reservations and instant responses to personalized recommendations and efficient feedback gathering, Engati chatbots offer a comprehensive solution. Hotels can deliver exceptional service, optimize operations, and create memorable guest experiences with their support. The advancements in artificial intelligence play a pivotal role in advancing hotel chatbots.

Chatbots use artificial intelligence and NLP (natural language processing) technologies to understand, process and respond to questions or requests. As a pivotal innovation in hospitality, hotel chatbots are changing the game for guest services. A significant 76.9% of customers now show a preference for amenities that utilize bots for client care. These digital tools transform business operations, enhance visitor engagement, and streamline administrative tasks. Engati chatbots can respond instantly to frequently asked questions, ensuring a prompt and satisfying experience. Whether guests need information about check-in times, hotel policies, nearby attractions, or amenities, the Engati chatbot provides accurate and timely answers, enhancing convenience and guest satisfaction.

They act as a digital concierge, bringing the front desk to the palm of guests’ hands. Custom validation of phone numbers was achieved through the use of regex expressions. We also used custom regex expressions to recognize novel utterances and redirected the flow. Information about various immigration processes and programs is easily accessible through the bot, enriching the overall user experience. The simple fact that out of 130 applications, bot received 120 responses whereas email only received 35 spoke volumes about the efficiency of chatbots.

But it’s not just about cost-saving; these bots provide round-the-clock help, answering guests’ questions promptly no matter what time zone they’re in. Hotel chatbots augment customer service staff by instantly automating customer queries. By doing so, they free up staff to focus on more important tasks, such as providing better service to guests. Furthermore, AI algorithms can analyze vast amounts of data, identifying patterns and trends to help hotels optimize their operations and drive revenue.

The Solution

They also highlight the growing importance of artificial intelligence shaping the tomorrow of visitors’ interactions. As we navigate through the intricacies and challenges of AI assistant implementation, it becomes crucial to see these technologies in action. The true potential and effectiveness of the solutions are best understood through practical applications.

What Is Copilot? Everything You Need to Know About Microsoft’s AI Tools

While the startup doesn’t expect to reach positive cash flow until 2029, it expects revenue to increase significantly in 2026 to surpass $29.4 billion, the report said. The Arc Prize Foundation, which develops the AI benchmark tool ARC-AGI, has updated the estimated computing costs for OpenAI’s o3 “reasoning” model managed by ARC-AGI. The organization originally estimated that the best-performing configuration of o3 it tested, o3 high, would cost approximately $3,000 to address a single problem. The Foundation now thinks the cost could be much higher, possibly around $30,000 per task. OpenAI leaders have been talking about allowing the open model to link up with OpenAI’s cloud-hosted models to improve its ability to respond to intricate questions, two sources familiar with the situation told TechCrunch. OpenAI plans to release an AI-powered web browser to challenge Alphabet’s Google Chrome.

However, the company has now “evolved” its approach, as stated in a blog post published by Joanne Jang, the lead for OpenAI’s model behavior. OpenAI has released two new reasoning models, o3 and o4 mini, just two days after launching GPT-4.1. The company claims o3 is the most advanced reasoning model it has developed, while o4-mini is said to provide a balance of price, speed, and performance. The new models stand out from previous reasoning models because they can use ChatGPT features like web browsing, coding, and image processing and generation.

OpenAI has added a new section to ChatGPT to offer easier access to AI-generated images for all user tiers

The most expensive version is Copilot Studio, priced at $210 or a pay-as-you-go option, which lets you create your own AI agents. Copilot also now has a new Windows app and Copilot Vision for your phone, which can analyze your photos in real time. It’s an AI assistant, a chatbot, an app — a little bit of everything. The umbrella term Copilot can be a bit confusing, so let’s explore what it means in its applications and how you can use it. At the same time, some companies are banning DeepSeek, and so are entire countries and governments, including South Korea. New York state also banned DeepSeek from being used on government devices.

Reasoning models take a little longer — usually seconds to minutes longer — to arrive at solutions compared to a typical non-reasoning model. The upside is that they tend to be more reliable in domains such as physics, science, and math. Wenfeng, who reportedly began dabbling in trading while a student at Zhejiang University, launched High-Flyer Capital Management as a hedge fund in 2019 focused on developing and deploying AI algorithms. One only needs to look at how much market capitalization Nvidia lost in the hours following V3’s release for example. The company’s stock value dropped 17% and it shed $600 billion (with a B) in a single trading session.

Sam Altman aims to make ChatGPT more personalized by tracking every aspect of a person’s life

Text-generating AI models like ChatGPT have a tendency to regurgitate content from their training data. OpenAI allows users to save chats in the ChatGPT interface, stored in the sidebar of the screen. We will see how handling troubling statements produced by ChatGPT will play out over the next few months as tech and legal experts attempt to tackle the fastest moving target in the industry. OpenAI has begun testing a feature that lets new ChatGPT users sign up with only a phone number — no email required.

OpenAI expects revenue to triple to $12.7 billion this year

The company prices its products and services well below market value — and gives others away for free. It’s also not taking investor money, despite a ton of VC interest. DeepSeek unveiled its first set of models — DeepSeek Coder, DeepSeek LLM, and DeepSeek Chat — in November 2023. But it wasn’t until last spring, when the startup released its next-gen DeepSeek-V2 family of models, that the AI industry started to take notice. In 2023, High-Flyer started DeepSeek as a lab dedicated to researching AI tools separate from its financial business.

More from TechCrunch

That’s a problem when you’re using it to do your homework, sure, but when it accuses you of a crime you didn’t commit, that may well at this point be libel. Both the free version of ChatGPT and the paid ChatGPT Plus are regularly updated with new GPT models. OpenAI plans to purchase Jony Ive’s devices startup io for $6.4 billion. Sarah Friar, CFO of OpenAI, thinks that the hardware will significantly enhance ChatGPT and broaden OpenAI’s reach to a larger audience in the future. Character.AI is undergoing an active lawsuit after allegations that one of the company’s bots played a role in the death of a 14-year-old boy.

When did ChatGPT get released?

• In the logistics industry, AI agents are used to optimize inventory levels and delivery routes as market and traffic conditions change.
• Here’s everything you need to know about Deepseek’s V3 and R1 models and why the company could fundamentally upend America’s AI ambitions.
• Questions have been raised regarding OpenAI’s transparency and procedures for testing models after a difference in benchmark outcomes was detected by first- and third-party benchmark results for the o3 AI model.
• The model is the latest in a series of updates OpenAI has rolled out its blockbuster chatbot ChatGPT.
• GPT-4.5 will be available in a research preview for paying customers.

Nvidia literally lost a valuation equal to that of the entire Exxon/Mobile corporation in one day. This revelation also calls into question just how much of a lead the US actually has in AI, despite repeatedly banning shipments of leading-edge GPUs to China over the past year. Slack has promised that ChatGPT is coming to its office chat program soon. Google has announced a ChatGPT competitor, an expensive lookalike dubbed “Bard.” Bard had sort of a rough start, when it was launched in early February, spouting some incorrect information during its demo.

While a «best neighborhoods in NYC» keyword suffices in search, the AI requires more distinctive personalization in its prompt. With the release of Claude 3.7 Sonnet, Anthropic introduces the first hybrid reasoning model, allowing users to choose between quick responses and deeper, step-by-step thinking within the same interface. There is a downside to R1, DeepSeek V3, and DeepSeek’s other models, however. DeepSeek released its R1-Lite-Preview model in November 2024, claiming that the new model could outperform OpenAI’s o1 family of reasoning models (and do so at a fraction of the price).

How to Use Chatbots and What to Know About These AI Tools

As a certified prompt engineer, she continues to push the boundaries of how humans and AI can work together. Although Claude has the capacity to search the web, it is not free like ChatGPT, Gemini or Perplexity. Users interested in looking up current events, news and information in real time would need a Pro account. Claude Opus 4 and Sonnet 4 are Anthropic’s most advanced AI models yet, built to handle complex tasks with deeper reasoning, better memory, and smarter tool use. Most users get around 200,000 tokens by default — that’s equivalent to about 500 pages of text — but in certain enterprise or specialized use cases, Claude can handle up to 1 million tokens.

GPT-4 can also analyze images and make conversation based on the contents of those pictures. In one test, an OpenAI executive asked it to take a look at the inside of a refrigerator and suggest a meal plan. Gemini 2.0 launched in December 2024, and is billed as a model for the agentic era. The first version to be released was Gemini 2.0 Flash Experimental, a high performance multimodal model, which supports tool use like Google search, and function calling for code generation. Nividia unveiled its Nemotron model families, designed specifically for agentic AI tasks, at CES 2025 earlier this month. Train employees to work alongside chatbots and support the transition to a chatbot-powered customer experience.