CSAT.AI

SEPTEMBER 25, 2017

Revuze’s software utilizes NLP, a form of artificial intelligence, and computational linguistics to filter for words that reveal customer attitudes and emotion, which are revealed in a sentiment analysis report. The second challenge lies in whether it’s structured or unstructured data.

Artificial Intelligence 59

Artificial Intelligence Predictive Analytics Unstructured Data Sentiment Analysis 59

DMG Consulting

FEBRUARY 25, 2019

These applications are being pushed to the next level by more advanced AI-enabled technologies, like supervised, semi-supervised, and unsupervised machine learning and predictive analytics. As the pace of business has accelerated, the demand for real-time speech analytics has increased. Improvements in Speed and Accuracy.

AI 48

AI Text Analytics Machine Learning Predictive Analytics 48

SurveySensum

MARCH 7, 2025

Step 2: Applying AI & NLP Techniques Once the data is structured, the next step is applying AI and NLP to analyze and extract meaningful insights. Text analytics for health relies on advanced machine learning and NLP techniques such as: Sentiment Analysis: Determines whether patient feedback is positive, negative, or neutral.

Text Analytics 52

Text Analytics Healthcare AI Unstructured Data 52