Customer Sentiment Analysis In response to the limitations of star ratings, businesses are increasingly turning to customer sentiment analysis to gain deeper insights into consumer experiences.

Rule-Based Sentiment Analysis. Rule-based sentiment analysis has been around since the early 2000s. This approach involves searching the text of customer interactions to identify words and phrases ...

Sentiment Classification: Using advanced NLP and ML techniques, we classify customer feedback into various sentiment categories, such as positive, negative, or neutral.

Here's what to look out for on a fairly quiet Friday for economic and earnings news: Monthly eurozone industrial-production data at 5 a.m. ET. will give clues as to how the energy standoff with ...

Most companies, especially those with SaaS offerings, focus considerable attention on running programs to measure the health of their customers. Little is done to organize the data and mold it into a ...

Sentiment analysis has helped some of the world’s biggest brands understand their customer sentiment and enabled them to plan the best long-term strategies and train their employees better.