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 Definition and Applications .
Read on to discover what natural language processing is, what it’s used for, and how you can use it to
win over your customers with personalized
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 special lead predictive text in messaging Definition and Applications 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.
Performs syntactic and semantic analysis of sentences and phrases;
Identify and classify proper nouns in the text, such as names of people, organizations, and places.
Extract structured data is email checker pnfo good? top 3 options from unstructured text, such as dates, events, entity relationships.
Determines what attitude or feeling is expressed in a text as positive, negative or neutral—also known
Natural language processing is used to improve and facilitate interaction between computers and humans . Think of all the time and effort you Definition and Applications save with these NLP applications:
language learning on apps like Duolingo
All of this impacts your personal life as well as your work. According to Accenture , 40% of all working hours can be affected by large language models like GPT-4 .
Today, thanks to generative AI, bots do a better job of surfacing information quickly and have optimized their ability to tailor aleart news responses to better fit where customers are in their journey, according to the aforementioned report Trends 2024.
of CX leaders are convinced that this translates into Definition and Applications stronger customer relationships. Download the full report for free and discover how, as the era of intelligent CX matures, these supercharged chatbots will play a central role in elevating customer experiences.
