Real-Time Analysis of Attendees' Feelings During a Talk
summary
Shows how to build a serverless pipeline on Google Cloud to analyze attendees' emotions in near real time, using Google Cloud Storage, Cloud Functions, BigQuery and the Vision ML API. Describes an implementation that is simple, fast to develop and can be done with under 50 lines of code.
AI-written summary · about
chapters (6)
- 0:00Introduction
- 5:41Motivation for sentiment analysis
- 10:17Capturing audience reactions
- 16:18Cloud function setup
- 26:43Analyzing sentiment data
- 34:38Q&A
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