Microsoft Azure AI Fundamentals (AI-900)Describe features of Natural Language Processing (NLP) workloads on AzureEasy
A customer service department wants to analyze frequently asked questions (FAQs) and customer support tickets to identify common issues and group similar inquiries together without pre-defining categories. Which Azure AI NLP capability is best suited for this task?
- ANamed Entity Recognition (NER)
- BTopic Modeling
- CSentiment Analysis
- DText Classification
Show answer & explanationAnswer & explanation
Correct answer: B. Topic Modeling
Topic Modeling is designed to discover abstract "topics" that occur in a collection of documents. It automatically identifies themes without needing pre-labeled data, making it ideal for grouping similar inquiries.
Why the other options are wrong
- A. NER extracts specific entities like names or locations, which is not the goal here.
- C. Sentiment Analysis determines the emotional tone of text, not its thematic content.
- D. Text Classification requires pre-defined categories and labeled data to assign documents to those categories.
Topic Modeling
A type of unsupervised machine learning that discovers abstract "topics" that occur in a collection of documents.
- Identifies themes in text without pre-defined categories.
- Useful for understanding large document collections.
- Commonly used for document organization and analysis.
Memory trick: Topics Model Data for Deep Understanding