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Positive matches

• 0.029 + - Interdisciplinary research
• 0.020 + - Sentiment analysis
• 0.017 + - Continuous embedding
• 0.012 + - CNN
• 0.012 + - Cecilia Mascolo
• 0.012 + - Policy
• 0.012 + - Convolutional neural network
• 0.011 + - Paper/MacKay1991
• 0.011 + - Information theory
• 0.008 + - GloVe
• 0.008 + - GraphSAGE
• 0.007 + - Science policy
• 0.007 + - StanfordNLP
• 0.006 + - Paper/Tshitoyan2019unsupervised
• 0.006 + - Lexical feature selection
• 0.006 + - Residual Learning
• 0.006 + - Peer review
• 0.006 + - Recurrent neural network
• 0.005 + - Archetype
• 0.005 + - Edwin Thompson Jaynes

Negative matches

• 0.017 + - PyTorch
• 0.002 + - Network geometry
• 0.002 + - skorch
• 0.000 + - Decision tree
• 0.000 + - Random forest
• 0.000 + - Boosting (machine learning)
• 0.000 + - Automated machine learning
• 0.000 + - Regular expression