Associate Data Practitioner

By Google · Question Mode

QuestionQ2

Data Analysis and Presentation

Your retail company needs to analyze customer reviews to understand sentiment and find areas for improvement. It has a large BigQuery dataset of customer-feedback text containing varied language patterns, emojis, and slang. You want to create a solution that classifies sentiment from this feedback text. What should you do?

Explanation

AutoML Natural Language provides managed custom sentiment-model training and deployment from labeled text, avoiding the operational and machine-learning engineering overhead of building and hosting a TensorFlow or Spark MLlib model. Using the raw review text retains sentiment-bearing language, emojis, and slang for the custom text model. AutoML Text is now deprecated, with Google directing new custom text classification and sentiment workloads to Vertex AI Gemini prompting and tuning.

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