Microsoft Azure AI Fundamentals (AI-900)Describe features of Natural Language Processing (NLP) workloads on AzureEasy
A financial news aggregator needs to process a continuous stream of articles to identify and group together all articles that discuss the same major financial event, even if they use different wording. Which NLP capability is most suitable for this task?
- ALanguage Detection
- BForm Recognizer
- CTopic Modeling
- DSpeech-to-Text
Show answer & explanationAnswer & explanation
Correct answer: C. Topic Modeling
Topic modeling is designed to discover abstract 'topics' that occur in a collection of documents. It helps in grouping documents based on shared themes, which is essential for identifying articles discussing the same financial event.
Why the other options are wrong
- A. Language Detection identifies the language of the text, not its subject matter.
- B. Form Recognizer extracts information from forms and documents, not for topic identification across varied texts.
- D. Speech-to-Text converts spoken language into written text, which is not the primary need here.
Topic Modeling
A type of statistical model for discovering the abstract 'topics' that occur in a collection of documents.
- Groups documents by shared themes.
- Useful for large text corpuses.
- Identifies patterns of word co-occurrence.
Memory trick: Topics are like chapters in a book.