Azure Text Analytics Description
Natural language processing (NLP), which is a natural way to extract insights from unstructured text, is a great way to gain insight. To understand common topics and trends, identify key phrases and entities, such as people, places, or organizations. Pretrained models that are domain-specific can be used to classify medical terminology. Sentiment analysis allows you to gain a deeper understanding of customer opinions. You can evaluate text in many languages.
Broad entity extraction
Identify key concepts in text, including key words and named entities, such as people, places and organizations.
Sentiment analysis that is powerful:
Find out what customers think about your brand and how sentiment is around certain topics.
Robust language detection:
Assess text input in a variety of languages.
Flexible deployment:
Text Analytics can be run anywhere: on-premises, in the cloud, or at the edge with containers.
Pricing
Company Details
Media
