NLP AI evolves, integrating into devices like smartphones; its applications also expand. Advanced NLP models such as GPT-3 can perform tasks nearly indistinguishable from humans. Investors should ...

One of my biggest complaints about terminology in the industry is the claim that data from conversations is “unstructured data”. That is nonsense. After all, how do people communicate, either in voice ...

Teaching computers to make sense of human language has long been a goal of computer scientists. The natural language that people use when speaking to each other is complex and deeply dependent upon ...

Natural language processing (NLP) is important because it enables machines to understand, interpret and generate human language, which is the primary means of communication between people. By using ...

It wasn’t too long ago that talking to a computer and having it not only understand, but speak back, was confined to the realm of science fiction, like that of the shipboard computers of Star Trek.

Natural language processing bridges the gap between real people’s search queries and what search engines have to offer. Comprehensive keyword research should be the backbone of your content ...

DUBLIN--(BUSINESS WIRE)--Research and Markets has announced the addition of the "World Natural Language Processing (NLP) Market - Opportunities and Forecasts, 2014 - 2022" report to their offering.

DUBLIN--(BUSINESS WIRE)--Research and Markets has announced the addition of the "Natural Language Processing (NLP) in Healthcare and Life Sciences Market - Global Forecast to 2021" report to their ...

One of the main challenges in language analysis is the method of transforming text into numerical input, which makes modeling feasible. It is not a problem in computer vision tasks due to the fact ...