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Positive matches

• 0.060 + - Natural language processing
• 0.025 + - Lexical feature selection
• 0.021 + - Interdisciplinary research
• 0.018 + - Continuous embedding
• 0.017 + - Industry-Academic Partnership
• 0.012 + - Class imbalance problem
• 0.011 + - Paper/MacKay1991
• 0.011 + - Policy
• 0.009 + - NLP
• 0.009 + - Convolutional neural network
• 0.008 + - GloVe
• 0.007 + - Migration
• 0.006 + - StanfordNLP
• 0.006 + - Paper/Tshitoyan2019unsupervised
• 0.006 + - Software engineering
• 0.006 + - Science policy
• 0.005 + - Edwin Thompson Jaynes
• 0.005 + - Text analysis
• 0.005 + - CNN
• 0.005 + - Stochastic process

Negative matches

• 0.016 + - skorch
• 0.009 + - tf-idf
• 0.004 + - tfidf
• 0.001 + - scikit-learn
• 0.001 + - Decision tree
• 0.000 + - Tim Hopper
• 0.000 + - Python in Science
• 0.000 + - Vim
• 0.000 + - Python syntax and semantics
• 0.000 + - Python/Debugging
• 0.000 + - programming language
• 0.000 + - Pipenv
• 0.000 + - Python/Visualization
• 0.000 + - Python vs. R
• 0.000 + - Python3
• 0.000 + - Global Interpreter Lock
• 0.000 + - IPython notebook