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Positive matches

• 0.062 + - Natural language processing
• 0.046 + - Graph embedding
• 0.031 + - Text analysis
• 0.026 + - Science policy
• 0.021 + - Word embedding
• 0.018 + - Data analysis
• 0.017 + - Public health policy
• 0.017 + - Lasswell's maxim
• 0.015 + - Migration
• 0.014 + - Probability theory
• 0.010 + - Sure Thing hypothesis
• 0.010 + - NLP
• 0.009 + - Convolutional neural network
• 0.009 + - tf-idf
• 0.008 + - Paper
• 0.008 + - Hessian matrix
• 0.007 + - StanfordNLP
• 0.007 + - CNN
• 0.006 + - Collaborative software
• 0.006 + - Information Theory, Inference, and Learning Algorithms

Negative matches

• 0.011 + - Probability, Paradox, and the Reasonable Person Principle
• 0.011 + - Probability distribution
• 0.001 + - Frequentist inference
• 0.001 + - Bayesian inference
• 0.001 + - Stochastic process
• 0.001 + - Peter Norvig
• 0.000 + - Jupyter/notebook
• 0.000 + - Beta distribution
• 0.000 + - IPython
• 0.000 + - Jupyter
• 0.000 + - Dirichlet distribution
• 0.000 + - Artemy Kolchinsky
• 0.000 + - IPython notebook