Which type of data can the Language service NOT analyze?

The Language service in Microsoft Azure focuses primarily on the analysis of textual data, which includes processing and understanding different aspects of language, such as sentiment, key phrase extraction, entity recognition, language detection, and more. Text data is the main input for this service, allowing it to analyze the semantics and syntax involved in written content.

Audio data can also be processed, but this typically involves speech-to-text services that convert spoken language into text before being analyzed by the Language service. The Language service then operates on the textual representation derived from audio.

Sentiment data is not a standalone type of data but rather a component or output derived from analyzing text data. It evaluates the emotional tone or sentiment behind pieces of text.

Image data, while essential for other Azure services like Computer Vision or Azure Media Services, does not fit within the purview of the Language service. The service is specifically designed for language and text analytics, thus it does not have the capabilities to analyze or process image data directly. This makes image data the correct answer to the question, as it is outside the realm of analysis for the Language service.