Natural language processing techniques

Natural language processing is the AI technology that allows computers and humans to communicate. Enterprise search and sentiment analysis are among the current NLP use cases. Get NLP tutorials, coverage of NLP platforms and learn about natural language processing techniques.

May 04, 2021 04 May'21
Pegasystems to release Process AI amid hyperautomation surge

Pegasystems will add intelligent automation features to its Pega Platform that apply event stream processing, machine learning and natural language processing to business actions.
April 12, 2021 12 Apr'21
Nvidia releases new AI software, hardware

Among the AI news from its virtual conference, Nvidia introduced a new DGX SuperPod, an Arm-based CPU, and the general availability of Jarvis, a conversational AI framework.
April 12, 2021 12 Apr'21
Microsoft to acquire Nuance in $19.7 billion deal

The all-cash acquisition will give Microsoft access to Nuance’s healthcare-focused dictation technology, as Microsoft continues to expand its role in the healthcare market.
April 01, 2021 01 Apr'21
AI voice technology has benefits and limitations

The quality of an automated transcription depends on high-quality recording equipment as well as modern AI-powered transcription software, according to one CTO.

Bring yourself up to speed with our introductory content

machine learning

Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input ... Continue Reading
natural language processing (NLP)

Natural language processing (NLP) is the ability of a computer program to understand human language as it is spoken and written -- referred to as natural language. Continue Reading
5 examples of effective NLP in customer service

Through use cases such as chatbots, recommendation systems and customer relationship management, NLP and AI are playing an important role in enterprise customer service. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

What does NLP mean for augmented analytics?

Explore how NLP is being used by augmented analytics platforms to improve employees' search capabilities, expand data visualization and build a data-driven culture. Continue Reading
Moving beyond NLP to make chatbots smarter

Machine reasoning could help chatbots better understand context, which is crucial to understanding human emotions and formulating emotionally relevant responses. Continue Reading
5 reasons NLP for chatbots improves performance

Experts say chatbots need some level of natural language processing capability in order to become truly conversational. Without language capabilities, bots are simple order takers. Continue Reading

Learn to apply best practices and optimize your operations.

Transformer neural networks are shaking up AI

Transformers are revolutionizing the field of natural language processing with an approach known as attention. That's just the beginning for this new type of neural network. Continue Reading
Speech to text for deaf users aids in accessibility

For the millions of people who are hard of hearing, speech-to-text advancements have improved their ability to complete daily tasks -- but the tech still has a long way to go. Continue Reading
How to create NLP metrics to improve your enterprise model

As standardized NLP framework evaluations become popular, experts urge users to focus on individualized metrics for enterprise success. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

Supervise data and open the black box to avoid AI failures

As AI blooms, marketers and vendors are quick to highlight easy positive use cases. But implementation can -- and has -- gone wrong in cases that serve as warnings for developers. Continue Reading
Building a better conversational AI assistant requires emotion

Industry after industry is seeing benefits from chatbot implementation, but customers and developers are looking toward a future of more connected, intelligent conversational agents. Continue Reading
The future scope of chatbots begins with addressing flaws

Chatbots are hot software in the enterprise, but to maintain longevity and relevance, developers need to take a look at the barriers to entry, interface options and NLP issues. Continue Reading