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Positive matches

• 0.057 + - Probability
• 0.040 + - Natural language processing
• 0.031 + - Interdisciplinary research
• 0.031 + - Migration
• 0.029 + - Lexical feature selection
• 0.015 + - Network geometry
• 0.015 + - Graph embedding
• 0.013 + - Policy
• 0.011 + - Communication
• 0.010 + - Cecilia Mascolo
• 0.009 + - Science policy
• 0.008 + - Hessian matrix
• 0.008 + - Paper
• 0.007 + - Continuous embedding
• 0.006 + - Paper/Tshitoyan2019unsupervised
• 0.006 + - GloVe
• 0.005 + - Software engineering
• 0.005 + - StanfordNLP
• 0.005 + - Peer review
• 0.005 + - Collaborative software

Negative matches

• 0.017 + - Sentiment analysis
• 0.007 + - Social media
• 0.004 + - Human mobility
• 0.002 + - Unemployment
• 0.001 + - Rumor
• 0.001 + - Christopher M. Danforth
• 0.001 + - Homophily and influence
• 0.001 + - Bing Liu
• 0.001 + - Syuzhet
• 0.001 + - Facebook
• 0.001 + - Peter Sheridan Dodds
• 0.000 + - Twittermood
• 0.000 + - Shapes of Stories
• 0.000 + - Contagion
• 0.000 + - Paper/Perozzi2014
• 0.000 + - James H. Fowler
• 0.000 + - Brain and deep learning
• 0.000 + - Thermostat
• 0.000 + - Jürgen Schmidhuber
• 0.000 + - Nicholas A. Christakis