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Positive matches

• 0.074 + - Graph embedding
• 0.024 + - Probability
• 0.024 + - Sentence embedding
• 0.023 + - Topic model
• 0.021 + - Science policy
• 0.020 + - Interdisciplinary research
• 0.019 + - Paper/MacKay1991
• 0.017 + - Public health policy
• 0.017 + - Paper/Nielsen2017
• 0.012 + - GloVe
• 0.011 + - word2vec
• 0.009 + - Industry-Academic Partnership
• 0.007 + - Natural language processing
• 0.005 + - Bayesian inference
• 0.005 + - Probability distribution
• 0.004 + - Topic modeling
• 0.004 + - Software engineering in research
• 0.004 + - Scientific communication
• 0.004 + - Software engineering
• 0.003 + - Peer review

Negative matches

• 0.022 + - Lexical feature selection
• 0.004 + - Kullback–Leibler divergence
• 0.004 + - Cross entropy
• 0.004 + - Gibbs' inequality
• 0.004 + - David Feldman
• 0.004 + - Pointwise mutual information
• 0.004 + - Information Theory, Inference, and Learning Algorithms
• 0.004 + - Machine learning
• 0.002 + - Text analysis
• 0.001 + - Automated machine learning
• 0.001 + - Regular expression
• 0.001 + - Learning
• 0.001 + - Class imbalance
• 0.001 + - Class imbalance problem
• 0.001 + - Recommender system
• 0.001 + - Gradient descent
• 0.000 + - Pathogen transmission
• 0.000 + - Random forest
• 0.000 + - Archetype
• 0.000 + - Decision tree