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IBM Watson Empathy Pack
by YouTube
1
Activity
257
Summary
Summary
Harness the brilliance of IBM Watson to give your robots a more human side
Overview
Overview
This activity set has 3 components:
1. Analyze General Tone: Study the emotion in written communications like emails, reviews, transcripts and predict whether the author is:
- Happy
- Sad
- Angry
- Fearful
- Analytical
- Confident
- or Tentative.
2. Analyze Customer Engagement: Monitor conversations between a call center agent and a customer in order to ensure agent decorum and customer satisfaction. Identify these emotions in any conversation:
- Sad
- Frustrated
- Satisfied
- Excited
- Polite
- Impolite
- Sympathetic
3. Personality Insights: Reveal--from potentially noisy digital communications such as email, texts, and social media posts--a complete profile of the author that contains:
- Personality Traits
- Values
- Needs
- Consumption Preferences
- Daily Behaviors
Features
Features
Social listening and audience monitoring - Monitor social media to know in real time what your customers think of your brand. Personalized marketing - Target the right audiences with personalized marketing. Chat bots - Give robotic agents a bit of soul and enable them to respond more warmly to clients. Customer-engagement monitoring and quality assurance - Monitor customer engagements in order to detect contention or dissatisfaction and know which agents may require more training.
Additional Information
Additional Information
Dependencies
Newtonsoft.Json >=10.0.2
Code Language
Visual Basic
Runtime
Windows Legacy (.Net Framework 4.6.1)
Technical
Version
0.2Updated
February 18, 2020Works with
UiPath Studio 2018.3+
Certification
Silver Certified
Application
Support
UiPath Community Support
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