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The spiritual energy in Minh Dieu's body was so intense. The golden light surrounding his body was a bit dazzling. His right fist fiercely hit Jackson straight in the back of his heart As soon as Minh Dieu appeared right behind him, Jackson noticed. But there were so many vines wrapped around his body that he had no time to break free. Even though he also made a dodging move, Minh Dieu's fist still hit his back, sending his whole body flying out.
One night, when Ethan reaches under his bed for a toy truck, he finds this note instead: "Monsters! Meet here for final test." Ethan is sure his parents are trying to trick him into staying under the covers, until he sees five colorful sets of eyes blinking at him from beneath the bed. Soon, a colorful parade of quirky, squeaky little monsters compete to become Ethan's monster. But only the little green monster, Gabe, has the perfect blend of stomach-rumbling and snorting needed to get Ethan into bed and keep him there so he falls asleep—which as everyone knows, is the real reason for monsters under beds. With its perfect balance of giggles and shivers, this silly-spooky prequel to the award-winning I Need My Monster and Hey, That's MY Monster! will keep young readers entertained.
As time goes on, big companies such as Amazon, Microsoft, Google and Apple become increasingly interested in virtual assistants. The interest and development of social robots has put research into affective and social computing at the forefront of the scene. The aim of Opinion Analysis in Interactions is to present methods based on artificial intelligence through a combination of machine learning models and symbolic approaches. Also discussed are natural language processing and affective computing, via the analysis and generation of socio-emotional signals. The book explores the analysis of opinions in human–human interaction and tackles the less-explored (yet crucial) challenges related to the analysis methods of user opinions within the context of human–agent interaction. It also illustrates the implementation of strategies for selecting and generating agent utterances in response to user opinions, and opens up perspectives on the agent’s multimodal generation of utterances that hold attitudes.
A richer reflection of life in early 19th-century Maryland and the Washington environs cannot be found. -- Washington Post Book World