In this Building with Watson webinar, Marketing Analytics Strategist Jeff Arn discusses what’s new with the Tone Analyzer and Personality Insights services and then forecasts the future of these services.

Jeff talks about Tone Analyzer for Customer Engagement, a new endpoint that identifies tones that are useful in customer service situations, such as:

• Frustration
• Impoliteness
• Sadness
• Sympathy
• Satisfaction
• Excitement

Next Jeff shows you how all these services can come together in an application through a demo.

Finally, Jeff answers questions from the audience.

Personality Insights derives knowledge from transactional and social media data to identify psychological traits which determine purchase decisions, intent, and behavioral traits. You can use it in an application to improve customer conversion rates.

Tone Analyzer leverages cognitive linguistic analysis to identify a variety of tones at both the sentence and document level. This insight can then used to refine and improve communications. It detects three types of tones, including emotion (anger, disgust, fear, joy, and sadness), social propensities (openness, conscientiousness, extroversion, agreeableness, and emotional range), and language styles (analytical, confident, and tentative) from text.

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