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 uncovering ...

Most of us don’t enjoy scrolling through countless online reviews, trying to decipher whether customers are genuinely satisfied or just being sarcastic. It can feel like trying to read between the ...

In Salesforce’s most recent State of the Connected Customer study, 80% of respondents said a company’s customer experience is as important as its products and services. Sixty-five percent said they ...

Better customer retention. By identifying dissatisfaction early, sentiment analysis aids proactive interventions, which helps to reduce churn and improve loyalty. Transformative business insights.

Social networks have become one of the most significant sources of diverse information that is hard to quantify numerically. Millions of people discuss stock prices daily, despite not being directly ...

Having a thorough grasp of what your customers think of you and your brand is vital to your ability to market to them well. Did they see the humor in your last campaign? How do they like your latest ...

Artificial intelligence has become a core component across trading desks, data platforms, and execution systems in the crypto ...

The use of large-language models may be allowing economists to turn narratives into data. That's especially helpful when parsing the Federal Reserve's Beige Book, a report issued eight times a year ...