Evaluates the sentiment of individual sentences, which is useful for identifying conflicting opinions within a single document.
Determines the overall emotional tone of an entire piece of text, such as a complete product review or news article. Sentiment Analysis and Opinion Mining
is a specialized feature in natural language processing (NLP) that identifies and extracts subjective information from digital text . While often used interchangeably, they represent two layers of analysis: Evaluates the sentiment of individual sentences, which is
(also known as Aspect-Based Sentiment Analysis ) offers more granular insights by linking sentiments to specific features or attributes, such as "food quality" or "customer service" within a review. Key Capabilities While often used interchangeably, they represent two layers
This feature enables automated understanding of large volumes of unstructured data across several levels:
Sentiment analysis and opinion mining - Azure - Microsoft Learn
Pinpoints specific targets (nouns or verbs) and their associated assessments (adjectives) to understand what exactly a user likes or dislikes. Core Use Cases