6.1.1. Text Analytics Features

Text Analytics (part of Azure AI Language) extracts structured insights from unstructured text. Each feature targets a specific extraction task, and they can be combined in a single API call.

Core features:

• Sentiment analysis: Positive/negative/neutral + confidence scores
• Opinion mining: Aspect-based sentiment (e.g., "battery" → positive, "screen" → negative)
• Key phrase extraction: Main topics and concepts
• Named entity recognition (NER): People, places, organizations, dates
• Entity linking: Links entities to Wikipedia knowledge base
• PII detection: Finds and optionally redacts personal data
• Language detection: Identifies document language

Batch processing: Submit up to 1000 documents per request for efficient processing.