What Azure service assists with analyzing and visualizing unstructured text data?

Azure Text Analytics is designed specifically for extracting insights from unstructured text data. It offers capabilities such as sentiment analysis, key phrase extraction, entity recognition, and language detection. By utilizing natural language processing (NLP) algorithms, this service allows users to analyze large volumes of text data efficiently, identifying trends and patterns that are not immediately apparent.

In the context of various Azure services, Azure Data Factory is primarily focused on data integration and transformation, making it less suitable for direct analysis and visualization of text data. Azure Synapse Analytics provides integrated analytics capabilities across data warehousing and big data, but it does not specialize in NLP tasks. Azure Databricks, while powerful for data processing and machine learning, is not specifically tailored for text analytics, relying more on general-purpose data processing rather than targeted text insight extraction.

Therefore, Azure Text Analytics stands out as the most appropriate choice for tasks involving unstructured text data.