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.

There’s nothing worse than a bad customer experience. In fact, 66 percent of customers say that a bad experience can actually ruin the rest of their day. And whether or not we’d like to admit ...

Spectrum customers may have noticed a higher number on their bills this month. In a post on Reddit, a user who says they’re a Spectrum employee detailed rate increases that will take effect in July.

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.

Sentiment analysis — a technique that uses natural language processing (NLP), machine learning (ML) and AI to gauge emotions in customer interactions — has emerged as a powerful tool for ...