Search "+Home -Bookshelf +Funny things +Alan Moore +YY +Sociology -Donald Knuth +Probability Theory: The Logic of Science +Math +David MacKay +Science of science +Science +Scientometrics +Books +Scientific communication +Bibliometrics +G. Dobínski +Sentence embedding +Communication +Probability theory +Migration +Policy +Public health policy +Graph embedding +Edwin Thompson Jaynes +Interdisciplinary research +Continuous embedding +Opioid crisis +Sure Thing hypothesis -word2vec"

Positive matches

• 0.026 + - Science policy
• 0.024 + - Word embedding
• 0.024 + - Probability
• 0.024 + - Network geometry
• 0.020 + - Natural language processing
• 0.019 + - Paper/MacKay1991
• 0.018 + - Industry-Academic Partnership
• 0.017 + - Lasswell's maxim
• 0.011 + - Information theory
• 0.009 + - PyTorch-BigGraph
• 0.008 + - GraphSAGE
• 0.006 + - Topic model
• 0.006 + - GloVe
• 0.005 + - Embedded topic model
• 0.005 + - Software engineering
• 0.005 + - Peer review
• 0.005 + - Collaborative software
• 0.005 + - Author name disambiguation
• 0.005 + - Stochastic process
• 0.005 + - Bayesian inference

Negative matches

• 0.003 + - Softmax function
• 0.002 + - Ilya Sutskever
• 0.002 + - Paper/Perozzi2014
• 0.002 + - Sentiment analysis
• 0.002 + - Chris McCormick
• 0.001 + - Neural network
• 0.001 + - Deep learning
• 0.001 + - Paper/Hamilton2016
• 0.001 + - Gender bias
• 0.001 + - sense2vec
• 0.001 + - Skip-gram
• 0.001 + - Paper/Levy2014
• 0.001 + - wiki2vec
• 0.001 + - Tomas Mikolov
• 0.001 + - Clinical concept embedding
• 0.001 + - Softmax
• 0.001 + - Recurrent neural network
• 0.001 + - Gensim
• 0.001 + - TensorFlow
• 0.001 + - Paper/Levy2014a