Azure Cognitive Services provides Text Analytics APIs that simplify extracting information from text data using natural language processing and machine learning. These APIs wrap pre-built language processing capabilities, for example, sentiment analysis, key phrase extraction, entity recognition, and language detection.
Whether you’re just starting off in tech, building, managing, or deploying apps, gathering and analyzing data, or solving global issues —anyone can benefit from using cloud technology. Below we’ve gathered five cool examples of innovative artificial intelligence (AI) to showcase how you can be a catalyst for real change.
The Text Analytics Cognitive Service announces Public Preview of Named Entity Recognition. With a simple API call, apply robust machine learning models to your unstructured text and recognize more than 20 types of named entities such as people, places, organizations, quantities, dates, and more.
You can now analyze the sentiment of your text in 12 new languages, which are in addition to our previously released support for English, French, Spanish, and Portuguese text.
Microsoft Cognitive Services is a collection of intelligence and knowledge APIs that enable developers to make their applications more intelligent, engaging and discoverable. Cognitive Services includes intelligent APIs that allow systems to see, hear, speak, understand and interpret needs using natural methods of communication; and knowledge APIs that bring the power of the web to developers. …