Search "+Innovation -Andreas Wagner +Paper/Wasserman2015crossevaluation +Retweet +Paper/Jara-Figueroa2015 -Topic model +Black Twitter -NLP -William Rosen"

Positive matches

• 0.132 + - Twitter
• 0.092 + - Paper
• 0.087 + - Movie
• 0.078 + - Basic research
• 0.076 + - Innovation hot spots
• 0.047 + - Meme
• 0.047 + - Creative work
• 0.041 + - Social media
• 0.038 + - Max Wasserman
• 0.036 + - Film
• 0.033 + - Diversity
• 0.015 + - Diffusion of innovations
• 0.014 + - Virality
• 0.010 + - Paper/Iacopini2018
• 0.010 + - Paper/Tria2014novelties
• 0.010 + - Rumor
• 0.006 + - Home
• 0.003 + - Francesca Tria
• 0.003 + - Paper/Zannettou2018
• 0.003 + - Vito DP Servedio

Negative matches

• 0.103 + - Natural language processing
• 0.055 + - Sentiment analysis
• 0.036 + - Archetype
• 0.017 + - Topic modeling
• 0.016 + - LDA
• 0.016 + - NMF
• 0.016 + - Topic mapping
• 0.016 + - Continuous embedding
• 0.016 + - Cecilia Mascolo
• 0.014 + - Embedded topic model
• 0.011 + - StanfordNLP
• 0.007 + - Biomedical natural language processing
• 0.006 + - Convolutional neural network
• 0.005 + - Latent Dirichlet allocation
• 0.004 + - Lexical feature selection
• 0.004 + - Sentence embedding
• 0.003 + - Recurrent neural network
• 0.003 + - Word segmentation
• 0.003 + - String metric
• 0.003 + - Christopher D. Manning