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Positive matches

• 0.026 + - Interdisciplinary research
• 0.024 + - tf-idf
• 0.023 + - Industry-Academic Partnership
• 0.018 + - scikit-learn
• 0.015 + - Migration
• 0.013 + - Pointwise mutual information
• 0.012 + - Text analysis
• 0.012 + - Data analysis
• 0.012 + - Natural language processing
• 0.012 + - Policy
• 0.011 + - Word embedding
• 0.011 + - Paper/MacKay1991
• 0.011 + - tfidf
• 0.009 + - Sentence embedding
• 0.007 + - Embedded topic model
• 0.007 + - Science policy
• 0.007 + - GloVe
• 0.007 + - Jeannette M. Wing
• 0.007 + - Topic model
• 0.006 + - word2vec

Negative matches

• 0.015 + - Random forest
• 0.008 + - Machine learning
• 0.007 + - Class imbalance
• 0.004 + - Class imbalance problem
• 0.003 + - Gradient descent
• 0.002 + - Boosting (machine learning)
• 0.001 + - Future of work
• 0.001 + - Regular expression
• 0.001 + - Recommender system
• 0.001 + - Automated machine learning
• 0.001 + - Privacy and Deanonymization
• 0.001 + - Regex
• 0.001 + - Neural network
• 0.000 + - Gilles Louppe
• 0.000 + - Pathogen transmission
• 0.000 + - Scientific computing
• 0.000 + - Python/Packaging
• 0.000 + - Python#Modules_.26_Libraries
• 0.000 + - Global Interpreter Lock