Discover how Text Analytics identifies languages, organizations, and entities in documents. Explore its capabilities for language detection and entity recognition.
Table of Contents
Question
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
Statement 1: The Text Analytics service can identify in which language text is written.
Statement 2: The Text Analytics service can detect handwritten signatures in a document.
Statement 3: The Text Analytics can identify companies and organizations mentioned in a document.
Answer
Statement 1: The Text Analytics service can identify in which language text is written: Yes
Statement 2: The Text Analytics service can detect handwritten signatures in a document: No
Statement 3: The Text Analytics can identify companies and organizations mentioned in a document: Yes
Explanation
The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text, and includes four main functions: sentiment analysis, key phrase extraction, named entity recognition, and language detection.
Statement 1: Yes
You can detect which language the input text is written in and report a single language code for every document submitted on the request in a wide range of languages, variants, dialects, and some regional/cultural languages. The language code is paired with a score indicating the strength of the score.
Statement 2: No
Statement 3: Yes
Named Entity Recognition: Identify and categorize entities in your text as people, places, organizations, date/time, quantities, percentages, currencies, and more. Well-known entities are also recognized and linked to more information on the web.
Reference
Microsoft Learn > Azure > Cognitive Services > Language Service > What is Azure Cognitive Service for Language?
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