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SentimentAnalysis and Emotion Detection Words carry emotions. Thats why SentimentAnalysis and Emotion Detection are critical in Conversational Analytics. Identifies potential legal risks : Flags conversations that may expose the company to lawsuits or violations.
Step 2: Applying AI & NLP Techniques Once the data is structured, the next step is applying AI and NLP to analyze and extract meaningful insights. Text analytics for health relies on advanced machine learning and NLP techniques such as: SentimentAnalysis: Determines whether patient feedback is positive, negative, or neutral.
Aligning with IT, BI, Legal, and Procurement ensures that customer insights lead to meaningful action. Lesson #22 Revisited: Start Small with Transactional VoCYoull Thank Me Later AI is changing the game in transactional VoC programs with predictive insights and automated sentimentanalysis.
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