What features are offered by Azure Text Analytics?

Azure Text Analytics provides a range of features that are particularly focused on processing and analyzing text data. Among these, sentiment analysis and language detection are key functionalities.

Sentiment analysis allows organizations to gauge the emotional tone behind a series of words, helping in understanding customer feedback, social media discussions, and survey responses. This can be crucial for businesses in evaluating their public image or assessing user satisfaction.

Language detection is another important feature that enables the system to automatically identify the language in which the text is written. This is useful in global applications where content may come in multiple languages, allowing for proper processing and analytics.

The other options focus on features that belong to different Azure services or technologies not provided by Azure Text Analytics. For instance, voice synthesis and language translation relate more to Azure’s Speech Services rather than Text Analytics, file formats such as images and videos pertain to computer vision, and speech recognition is a different capability that aligns with speech services, not solely text analytics. Thus, the functionalities offered by Azure Text Analytics are specifically tuned to handle sentiment and language detection in text data.