Microsoft Azure AI Fundamentals AI-900 Practice Question
You are a data analyst at a marketing firm tasked with evaluating how customers feel about a recent product launch by analyzing thousands of social media posts.
Which natural language processing technique should you use to understand the emotions expressed in the text?
Sentiment Analysis is used to determine the emotional tone behind words, identifying and categorizing opinions expressed in text to understand the customers feelings.
Entity Recognition focuses on identifying and classifying named entities within text, such as people or organizations, which doesn't provide insights into emotions.
Key Phrase Extraction identifies important keywords or phrases but doesn't assess emotional context.
Topic Modeling discovers abstract topics within documents but doesn't directly evaluate emotional sentiment.
Ask Bash
Bash is our AI bot, trained to help you pass your exam. AI Generated Content may display inaccurate information, always double-check anything important.
What exactly is Sentiment Analysis?
Open an interactive chat with Bash
How does Sentiment Analysis work?
Open an interactive chat with Bash
What are some applications of Sentiment Analysis?
Open an interactive chat with Bash
Microsoft Azure AI Fundamentals AI-900
Describe Features of Natural Language Processing (NLP) Workloads on Azure
Your Score:
Report Issue
Bash, the Crucial Exams Chat Bot
AI Bot
Loading...
Loading...
Loading...
IT & Cybersecurity Package Join Premium for Full Access