Natural Language Processing
With CX Index, harness the power of Natural Language Processing (NLP) to unlock deep insights from customer feedback, transforming the way human language is understood and analyzed.
Understanding Customer Sentiment
Using LLMs, we analyze feedback for complex emotions, extracting detailed insights on customer feelings.
Example: A feedback response like, "The product was okay, but the customer service was outstanding!" reveals mixed sentiment, highlighting a positive emotional response to the service experience.
Contextual Understanding of Feedback
Our LLMs understand context, deciphering indirect language to accurately capture customer intent.
Example: When a customer states, "I expected more from this company," our LLMs detect implicit dissatisfaction and categorize this feedback appropriately.
Topic Modeling and Categorization
LLMs identify key topics in feedback, spotting trends and issues without needing predefined categories.
Example: By analyzing thousands of feedback entries, our LLMs can group similar responses, such as concerns about "delivery times" or "product quality," providing actionable insights into areas needing improvement.