14 Natural Language Processing Examples NLP Examples

An NLP chatbot is smarter than a traditional chatbot and has the capability to “learn” from every interaction that it carries. This is made possible because of all the components that go into creating an effective NLP chatbot. Companies nowadays have to process a lot of data and unstructured text. Organizing and analyzing this data manually is inefficient, subjective, and often impossible due to the volume. Smart assistants, which were once in the realm of science fiction, are now commonplace. IBM’s Global Adoption Index cited that almost half of businesses surveyed globally are using some kind of application powered by NLP.

An NLP chatbot is a virtual agent that understands and responds to human language messages. To show you how easy it is to create an NLP conversational chatbot, we’ll use Tidio. It’s a visual drag-and-drop builder with support for natural language processing and intent recognition. You don’t need any coding skills to use it—just some basic knowledge of how chatbots work. CodaMetrix (CMX) is a SaaS technology company providing an AI-powered platform to facilitate healthcare revenue cycle management and medical coding.

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In case you need more help, you can always reach out to the Tidio team or read our detailed guide on how to build a chatbot. For example, adding a new chatbot to your website or social media with Tidio takes only several minutes. A few of the best NLP chatbot examples include Lyro by Tidio, ChatGPT, and Intercom. Chatbots that use NLP technology can understand your visitors better and answer questions in a matter of seconds.

If you’re interested in building chatbots, then you’ll find that there are a variety of powerful chatbot development platforms, frameworks, and tools available. Once the work is complete, you may integrate AI with NLP which helps the chatbot in expanding its knowledge through each and every interaction with a human. When a user punches in a query for the chatbot, the algorithm kicks in to break that query down into a structured string of data that is interpretable by a computer. The process of derivation of keywords and useful data from the user’s speech input is termed Natural Language Understanding (NLU).

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MonkeyLearn is a good example of a tool that uses NLP and machine learning to analyze survey results. It can sort through large amounts of unstructured data to give you insights within seconds. In this piece, we’ll go on what NLP is, take you through a number of natural language processing examples, and show you how you can apply these within your business.

• You could also use some of the NLP techniques in your everyday life for personal and professional purposes.
• It is very practical and therefore it requires practice under direct supervision of a qualified trainer.
• People like LeBron James and Ronaldo would be categorized into sports.
• One real-world example of how NLP pre-trained models and transfer learning is used is in the development of chatbots for customer service.
• Kaggle provides datasets, competitions, and a collaborative platform for NLP practitioners to share code and insights.

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