Natural language processing is a branch of AI that enables computers to understand, process, and generate language just as people do — and its use in business is rapidly growing.

Benefits of Natural Language Processing: Improved Efficiency : NLP automates tasks like document classification, translation, and customer service, which saves time and effort.

This year, all eyes will be on natural language processing (NLP). With OpenAI's GPT-4 and Meta's LLaMA out, the race for the best AI-powered NLP tech is officially on. So what hides behind the ...

This third part of a series on NLP and survey data explores Latent Dirichlet Allocation, a popular tool to ferret out elusive themes in text comments, referred to as topic modeling. August 10 ...

Natural language processing uses Tools like Apple 's ( AAPL -7.28% ) virtual assistant, Siri, and Amazon 's ( AMZN -3.92% ) cloud-based voice service, Alexa, have made NLP commonplace.

Data-to-text generation, a subfield of natural language processing (NLP), is dedicated to translating structured data into coherent, human‐readable narratives. This capability has significant ...

Natural language processing libraries, including NLTK, spaCy, Stanford CoreNLP, Gensim and TensorFlow, provide pre-built tools for processing and analyzing human language. Listen 0:00 10643 ...

Using natural language processing in business has a number of benefits. For instance, NLP programs used in customer support roles can be active 24/7 and can be cheaper to implement and maintain ...

This helps to connect large amounts of natural language data, and allows software to understand human language. If you use chatbots, language translators, voice-activated assistants and similar ...