The nuances of language can be difficult for a machine to understand, hence the need for human input to accelerate testing and ensure quality control.
Sentiment analysis can turn the abundance of online information into actionable insights, but machines can’t do everything by themselves.
With almost half of all online search queries now being spoken, natural language processing (NLP) is booming. Learn about 4 top innovators in the space.
From spotting trends in financial markets to empowering better client experiences, natural language processing (NLP) is transforming the finance sector.
NLP is one of the most difficult AI applications to develop and maintain. When you outsource data labeling, make sure you choose the right team.
Natural language processing (NLP) is among the fastest growing AI technologies and one of the most difficult to develop. In this article, we'll share lessons learned over 10 years ...
Natural language processing (NLP) is among the fastest growing AI technologies today. It’s also one of the most difficult to develop. This is the first in a two-article series ...
Humans are the key to developing the datasets and algorithms required to train intelligent virtual assistants so they can mimic human intelligence.
As more companies adopt AI techniques to improve products, service and profitability, we’re starting to see new job titles emerge for workers across the tech industry.