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.
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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.
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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.