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Positive matches

• 0.055 + - Graph embedding
• 0.024 + - Industry-Academic Partnership
• 0.016 + - Probability
• 0.014 + - Sentence embedding
• 0.013 + - Edwin Thompson Jaynes
• 0.012 + - Policy
• 0.011 + - Paper
• 0.011 + - Beta distribution
• 0.011 + - word2vec
• 0.011 + - GloVe
• 0.008 + - Science policy
• 0.007 + - Topic model
• 0.007 + - Scientific publication
• 0.007 + - Embedded topic model
• 0.007 + - Natural language processing
• 0.006 + - Jeannette M. Wing
• 0.006 + - Aaron Clauset
• 0.006 + - Bertrand Meyer
• 0.006 + - Scientific communication
• 0.006 + - Larry Wasserman

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 + - Information Theory, Inference, and Learning Algorithms
• 0.003 + - Pointwise mutual information
• 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 + - Deep learning
• 0.000 + - Regular expression
• 0.000 + - Social network
• 0.000 + - Pathogen transmission