Abstract: Text data classification in social networks is a crucial task for various applications such as sentiment analysis, spam detection, and content moderation. This abstract presents an algorithm ...

Document processing often depends less on sophisticated extraction algorithms than on validation architecture, exception ...

Multiple regions of the brain engage in fast-moving conversations to understand language, UTHealth Houston researchers have ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Scheduled in April in Rio de Janeiro, ICLR 2026 focuses on cutting-edge research on deep learning used in the fields of ...

Zathras is a comprehensive text management and processing utility designed to streamline the way users handle large volumes of text data. It provides powerful features for text editing, searching, and ...

While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...

We propose a hybrid methodology to evaluate the alignment between structural communities inferred from interaction networks and the linguistic coherence of users' textual production in online social ...

Abstract: In recent years, convolutional neural networks (CNNs) widely used in text detection tasks can effectively predict high-frequency details. However, most CNNs exhibit limited capability in ...

An innovative algorithm for detecting collisions of high-speed particles within nuclear fusion reactors has been developed, inspired by technologies used to determine whether bullets hit targets in ...