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Positive matches

• 0.053 + - Interdisciplinary research
• 0.046 + - Network geometry
• 0.034 + - Science policy
• 0.026 + - Graph embedding
• 0.025 + - Lexical feature selection
• 0.024 + - Migration
• 0.017 + - Opioid crisis
• 0.017 + - Probability theory
• 0.014 + - Sentence embedding
• 0.013 + - Machine learning
• 0.011 + - Literary allusions in science
• 0.011 + - Communication
• 0.011 + - Paper/MacKay1991
• 0.010 + - GloVe
• 0.010 + - word2vec
• 0.010 + - How to study
• 0.008 + - Michael Ramscar
• 0.008 + - Embedded topic model
• 0.008 + - Natural language processing
• 0.007 + - Aaron Clauset

Negative matches

• 0.013 + - Language
• 0.003 + - Residual leanrning
• 0.003 + - Archetype
• 0.002 + - Amazon EC2
• 0.001 + - Q-learning
• 0.001 + - Attention
• 0.001 + - Deep generative models
• 0.001 + - Beer
• 0.001 + - Deep learning and graphs
• 0.001 + - Artificial neural network
• 0.001 + - GraphLab
• 0.001 + - Yann LeCun
• 0.001 + - Meta learning
• 0.001 + - Amazon Elastic Compute Cloud
• 0.001 + - Quoc Le
• 0.001 + - Sentiment analysis
• 0.001 + - Long short-term memory
• 0.001 + - Generative adversarial networks
• 0.001 + - Brain and deep learning
• 0.001 + - Geoffrey Hinton