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 +Web of Science +Network geometry -Bibliometrics +Word embedding -G. Dobínski +Paper/Nielsen2017 +Continuous embedding -word2vec"

Positive matches

• 0.072 + - Graph embedding
• 0.031 + - Interdisciplinary research
• 0.023 + - Probability theory
• 0.019 + - Sentence embedding
• 0.018 + - Industry-Academic Partnership
• 0.015 + - Paper/MacKay1991
• 0.015 + - Information theory
• 0.015 + - Policy
• 0.013 + - GloVe
• 0.011 + - Migration
• 0.010 + - Embedded topic model
• 0.008 + - Topic model
• 0.007 + - Paper/Tshitoyan2019unsupervised
• 0.007 + - Natural language processing
• 0.007 + - Science policy
• 0.006 + - Scientific communication
• 0.006 + - Software engineering in research
• 0.006 + - Peer review
• 0.006 + - Software engineering
• 0.005 + - Scientific consensus

Negative matches

• 0.005 + - Softmax function
• 0.002 + - Softmax
• 0.002 + - tf-idf
• 0.002 + - Deep learning
• 0.002 + - Sentiment analysis
• 0.002 + - Neural network
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Hierarchical softmax
• 0.002 + - Paper/Hamilton2016
• 0.002 + - Paper/Levy2014a
• 0.002 + - Paper/Levy2014
• 0.002 + - Clinical concept embedding
• 0.002 + - Chris McCormick
• 0.002 + - Ilya Sutskever
• 0.002 + - Gensim
• 0.002 + - WordRank
• 0.002 + - Paper/Perozzi2014
• 0.002 + - Cecilia Mascolo
• 0.002 + - Gender bias
• 0.002 + - wiki2vec