This subdiscipline of Artificial Intelligence is significantly integrated into people's lives. Virtual assistants Alexa and Siri are also examples of natural language processing that understand and respond to voice commands.
Other popular applications include chatbots, which businesses use on their websites and apps to provide automated customer support. Using NLP, the bots answer frequently asked questions, help with common issues, and offer appropriate resources to users.
When it comes to improving customer experience, 70% of CX leaders believe chatbots are becoming skilled architects of highly personalized customer journeys , according to Zendesk’s CX Trends 2024 report .
Read on to discover what taiwan whatsapp number natural language processing is, what it's used for, and how you can use it to win over your customers with personalized, familiar service.
Summary
Natural language processing models are algorithms and techniques used to analyze, understand, and generate human language. NLP applications are present in multiple apps and tools of daily use, such as voice assistants and predictive text in messaging and word processors.
In customer service, the most popular and outstanding use is the chatbot. Currently, it is the tool that best combines automation with hyperpersonalization.
What is hyperpersonalization and how to achieve it in 2024?
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How to improve agent productivity and elevate CX?
What is natural language processing?
Natural language processing ( NLP) is defined as a subdiscipline of artificial intelligence (AI) that allows computers to understand and interpret human language in order to respond efficiently. Virtual assistants Siri, Alexa or Google Assistant are examples of NLP that perform such functions.