One of the areas of application
Posted: Wed Feb 12, 2025 10:10 am
Using neural networks, in 2014 Facebook conducted a study of posts with a strong emotional background, finding that such posts can spill over beyond the boundaries of social networks - into the public sphere, for example, in the media.
Google has developed Cloud Vision API, which allows nepal whatsapp data to analyze images and contextual data using a self-learning and evolving ML model. With this API, they can classify images into categories and subcategories, achieving a deep level of information detail. Cloud Vision can recognize the main subject of a photo (for example, an animal), determine its species (dog) and breed (beagle). Moreover, the service can provide additional data about the background of the photo - grass, mountains, etc.
Apple is also involved in “emotional” developments. In 2016, it bought the startup Emotient. The technology it created allows using the camera in mobile devices to identify the emotions that a person is currently experiencing. The software is capable of analyzing not only the facial expression of one person, but even a whole group of people. Apple uses Emotient’s developments in Animoji and Face ID.
Emotient developments could be retail. With the help of the program, sellers will be able to find out the opinion of buyers about a particular product. In addition, it can be useful for psychologists and psychotherapists to diagnose the early stages of depression or for promoters who will be able to use the technology to quickly understand people's reactions to their offers.
Google has developed Cloud Vision API, which allows nepal whatsapp data to analyze images and contextual data using a self-learning and evolving ML model. With this API, they can classify images into categories and subcategories, achieving a deep level of information detail. Cloud Vision can recognize the main subject of a photo (for example, an animal), determine its species (dog) and breed (beagle). Moreover, the service can provide additional data about the background of the photo - grass, mountains, etc.
Apple is also involved in “emotional” developments. In 2016, it bought the startup Emotient. The technology it created allows using the camera in mobile devices to identify the emotions that a person is currently experiencing. The software is capable of analyzing not only the facial expression of one person, but even a whole group of people. Apple uses Emotient’s developments in Animoji and Face ID.
Emotient developments could be retail. With the help of the program, sellers will be able to find out the opinion of buyers about a particular product. In addition, it can be useful for psychologists and psychotherapists to diagnose the early stages of depression or for promoters who will be able to use the technology to quickly understand people's reactions to their offers.