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Positive matches

• 0.029 + - Interdisciplinary research
• 0.025 + - Natural language processing
• 0.025 + - Science policy
• 0.024 + - Topic model
• 0.023 + - word2vec
• 0.018 + - Software license
• 0.017 + - Public health policy
• 0.017 + - Paper/Nielsen2017
• 0.017 + - Probability theory
• 0.011 + - Software documentation
• 0.010 + - PyTorch-BigGraph
• 0.009 + - Revision control
• 0.009 + - GraphSAGE
• 0.009 + - Paper
• 0.009 + - Edwin Thompson Jaynes
• 0.009 + - Reproducible research
• 0.008 + - Research tools
• 0.006 + - Migration
• 0.006 + - Paper/Tshitoyan2019unsupervised
• 0.005 + - Topic modeling

Negative matches

• 0.021 + - Lexical feature selection
• 0.004 + - Kullback–Leibler divergence
• 0.004 + - Cross entropy
• 0.004 + - Gibbs' inequality
• 0.004 + - David Feldman
• 0.004 + - Machine learning
• 0.004 + - Information Theory, Inference, and Learning Algorithms
• 0.004 + - Pointwise mutual information
• 0.002 + - Text analysis
• 0.001 + - Automated machine learning
• 0.001 + - Future of work
• 0.001 + - Class imbalance problem
• 0.001 + - scikit-learn
• 0.001 + - Recommender system
• 0.000 + - Gradient descent
• 0.000 + - Class imbalance
• 0.000 + - Regular expression
• 0.000 + - Social network
• 0.000 + - Pathogen transmission
• 0.000 + - Paper/Gatys2015