AI Model Tracks How Scientists Drift Between Research Fields Over Time
Researchers in India have developed a graph neural network framework called TADGLN-LSTM that quantifies how individual scientists' research topics drift ...
Researchers in India have developed a graph neural network framework called TADGLN-LSTM that quantifies how individual scientists' research topics drift ...
Researchers trained a convolutional neural network to detect and characterize eating disorder discourse on Weibo, uncovering five major themes in ...
A new hierarchical topic model reveals that regional rock type, not geological age, most strongly shapes mineral assemblages across more ...
Researchers used BERT-based natural language processing on 42,852 LinkedIn comments to reveal that employee discourse shifted sharply toward work-life balance ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine