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"Figurative Language Detection using Deep Learning and Contextual Featu" by Md Saifullah Bin Razali

The size of data shared over the Internet today is gigantic. A big bulk of it comes from postings on social networking sites such as Twitter and Facebook. Some of it also comes from online news sites such as CNN and The Onion. This type of data is very good for data analysis since they are very personalized and specific. For years, researchers in academia and various industries have been analyzing this type of data. The purpose includes product marketing, event monitoring, and trend analysis. The highest usage for this type of analysis is to find out the sentiments of the public about a certain topic or product. This field is called sentiment analysis. The writers of such posts have no obligation to stick to only literal language. They also have the freedom to use figurative language in their publications. Hence, online posts can be categorized into two: Literal and Figurative. Literal posts contain words or sentences that are direct or straight to the point. On the contrary, figurativ ....

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Efabless Design Challenge Winners Advance the Power of AI in Chip Design

Efabless Design Challenge Winners Advance the Power of AI in Chip Design
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Mark Zakharov , Emilio Isaac Baungarten , Mike Wishart , William Salcedo , Contactandrea Vedanayagam , Efabless Corporation , Convolutional Neural Network , Open Source Silicon Design , Open Source Silicon Design Challenges , Ignite Caravel Soc , Integrated Circuit , Caravel Management ,

Patent Application Titled "Method of predicting the future accident risk rate of the drivers using artificial intelligence and its device" Published Online (USPTO 20230267549): Patent Application - Insurance News

Patent Application Titled "Method of predicting the future accident risk rate of the drivers using artificial intelligence and its device" Published Online (USPTO 20230267549): Patent Application - Insurance News
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