Search "+Home -Science +Food -Network datasets +Social media -DERP +Link analysis -Paper/Aiello2014 +Sentiment analysis -NLP"

Positive matches

• 0.019 + - Odor
• 0.018 + - Network science
• 0.014 + - Facebook
• 0.013 + - Meme
• 0.012 + - Wine pairing
• 0.011 + - Music
• 0.010 + - Diet
• 0.009 + - Stretching
• 0.009 + - Shapes of Stories
• 0.009 + - Twitter
• 0.009 + - Christopher M. Danforth
• 0.009 + - Peter Sheridan Dodds
• 0.009 + - Homophily and influence
• 0.009 + - Syuzhet
• 0.009 + - Health
• 0.008 + - Pew Research
• 0.007 + - Prediction using social media
• 0.007 + - Bing Liu
• 0.007 + - Twittermood
• 0.007 + - word2vec

Negative matches

• 0.043 + - Natural language processing
• 0.033 + - Protein-protein interaction network
• 0.031 + - Public datasets
• 0.026 + - Archetype
• 0.025 + - Policy
• 0.019 + - Data
• 0.019 + - Word embedding
• 0.017 + - Luca Maria Aiello
• 0.014 + - Non-negative matrix factorization
• 0.014 + - Paper
• 0.014 + - Rossano Schifanella
• 0.014 + - Bogdan State
• 0.006 + - Diffusion of innovations
• 0.006 + - Sentence embedding
• 0.006 + - Software license
• 0.005 + - Migration
• 0.004 + - Cecilia Mascolo
• 0.003 + - Software engineering
• 0.003 + - Unemployment
• 0.003 + - Complex systems