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Positive matches

• 0.052 + - Natural language processing
• 0.040 + - Policy
• 0.030 + - Interdisciplinary research
• 0.026 + - Word embedding
• 0.021 + - Kullback–Leibler divergence
• 0.019 + - Industry-Academic Partnership
• 0.017 + - PyTorch
• 0.017 + - Probability theory
• 0.012 + - CNN
• 0.011 + - Paper/MacKay1991
• 0.011 + - Class imbalance problem
• 0.011 + - Residual leanrning
• 0.009 + - Residual Learning
• 0.009 + - Embedded topic model
• 0.008 + - Deep learning
• 0.007 + - word2vec
• 0.007 + - Topic model
• 0.007 + - GloVe
• 0.007 + - Migration
• 0.007 + - Paper/Gatys2015

Negative matches

• 0.011 + - Data analysis
• 0.008 + - tf-idf
• 0.003 + - Text analysis
• 0.000 + - Tim Hopper
• 0.000 + - Amazon Elastic Compute Cloud
• 0.000 + - Gensim