Search "+Innovation +Paper -William Rosen -Paper/Zannettou2018 +Meme +Paper/Tria2014novelties -Paper/Iacopini2018 +Innovation hot spots -Popularity -Tweet NLP -Pew Research +Social media -Vitorio Loreto +Virality +Heaps' law +pHash +Basic research +Creative work -Sentiment analysis"

Positive matches

• 0.030 + - Paper/Wasserman2015crossevaluation
• 0.029 + - Paper/Mukherjee2017hotspot
• 0.026 + - Diversity
• 0.015 + - Diffusion of innovations
• 0.012 + - Retweet
• 0.011 + - Steven Strogatz
• 0.011 + - Jeff Hemsley
• 0.011 + - Karine Nahon
• 0.011 + - Francesca Tria
• 0.011 + - Vito DP Servedio
• 0.008 + - Paper/Jara-Figueroa2015
• 0.007 + - Diffusion of innovation
• 0.006 + - Andreas Wagner
• 0.005 + - Prediction
• 0.004 + - DERP
• 0.004 + - Diet
• 0.004 + - Yogi Berra
• 0.003 + - Social media and public health
• 0.003 + - Collective intelligence
• 0.003 + - Home

Negative matches

• 0.046 + - Twitter
• 0.005 + - Unemployment
• 0.004 + - Deep learning
• 0.004 + - Natural language processing
• 0.004 + - NLP
• 0.004 + - word2vec
• 0.004 + - Archetype
• 0.004 + - Twittermood
• 0.003 + - Peter Sheridan Dodds
• 0.003 + - Cecilia Mascolo
• 0.003 + - Bing Liu
• 0.003 + - Shapes of Stories
• 0.003 + - Homophily and influence
• 0.003 + - Convolutional neural network
• 0.003 + - Christopher M. Danforth
• 0.002 + - Recurrent neural network
• 0.002 + - Syuzhet
• 0.002 + - CNN
• 0.002 + - StanfordNLP
• 0.002 + - Lexical feature selection