By requiring and analyzing only the standard bidstream CTV Bundle ID and impression timestamp, OpenEPG™ automatically maps full show-level records-including air time, channel, and market-across major ...
Abstract: News text classification is crucial for efficient information acquisition and dissemination. While deep learning models, such as BERT and BiGRU, excel in accuracy for text classification, ...
Combine word-level with character-based input. The char input ist optional and can be used for further reasearch. Change padding of conv-layer from same to valid. Add average pooling after conv-layer ...
The information Defense Secretary Pete Hegseth disclosed in the Signal chat of top Trump national security officials was highly classified at the time he wrote it, especially because the operation had ...
US officials reacted with shock— and in many cases, horror — to revelations in The Atlantic that top members of President Donald Trump’s Cabinet sent detailed operational plans and other likely highly ...
DeText is a Deep Text understanding framework for NLP related ranking, classification, and language generation tasks. It leverages semantic matching using deep neural networks to understand member ...
The constantly evolving human–machine interaction and advancement in sociotechnical systems have made it essential to analyze vital human factors such as mental workload, vigilance, fatigue, and ...
Abstract: Text Classification is an important research area in natural language processing (NLP) that has received a considerable amount of scholarly attention in recent years. However, real Chinese ...
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