Real-time conversational insights from phone call data
Practical AI
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Unsupervised Learning in Call Analysis
This chapter focuses on enhancing AI's capability to analyze call data autonomously, alleviating the need for extensive customer input. It introduces an unsupervised model that examines call recordings, uncovers recurring themes, and improves human interpretability of machine-discovered patterns. Additionally, it explores language analysis concepts like Zipf's Law and topic modeling, addressing the challenges posed by diverse dialects and statistical distributions in language usage.
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