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Positive matches

• 0.044 + - Research advices
• 0.030 + - Science policy
• 0.025 + - Probability theory
• 0.019 + - Probability
• 0.019 + - Computer science
• 0.017 + - Public health policy
• 0.011 + - Literary allusions in science
• 0.010 + - Sure Thing hypothesis
• 0.010 + - Graph embedding
• 0.008 + - Network science
• 0.008 + - Hessian matrix
• 0.008 + - Paper
• 0.008 + - Sentence embedding
• 0.007 + - Gender
• 0.007 + - Community structure
• 0.006 + - Collaborative software
• 0.005 + - Software engineering
• 0.005 + - Software engineering in research
• 0.005 + - Scientific communication
• 0.004 + - Word embedding

Negative matches

• 0.025 + - Lexical feature selection
• 0.004 + - Kullback–Leibler divergence
• 0.004 + - Machine learning
• 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
• 0.003 + - Text analysis
• 0.001 + - Class imbalance
• 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 + - StanfordNLP
• 0.000 + - Deep learning
• 0.000 + - Regular expression
• 0.000 + - Social network