Search "+Innovation -Andreas Wagner +Paper/Wasserman2015crossevaluation +Retweet +Paper/Jara-Figueroa2015 -Topic model +Black Twitter +Rumor +LDA"

Positive matches

• 0.188 + - Twitter
• 0.105 + - Social media
• 0.097 + - Movie
• 0.093 + - Paper
• 0.075 + - Basic research
• 0.074 + - Innovation hot spots
• 0.047 + - Meme
• 0.047 + - Creative work
• 0.041 + - Film
• 0.038 + - Max Wasserman
• 0.037 + - Diversity
• 0.035 + - Latent Dirichlet allocation
• 0.031 + - Topic modeling
• 0.029 + - Embedded topic model
• 0.021 + - Topic mapping
• 0.013 + - Diffusion of innovations
• 0.010 + - William Rosen
• 0.010 + - Paper/Iacopini2018
• 0.010 + - Paper/Tria2014novelties
• 0.009 + - Virality

Negative matches

• 0.049 + - Natural language processing
• 0.016 + - NMF
• 0.009 + - Continuous embedding
• 0.007 + - Sentence embedding
• 0.005 + - StanfordNLP
• 0.004 + - Convolutional neural network
• 0.003 + - Biomedical natural language processing
• 0.003 + - Lexical feature selection
• 0.002 + - Non-negative matrix factorization
• 0.002 + - NLP
• 0.002 + - GloVe
• 0.001 + - Paper/Tshitoyan2019unsupervised
• 0.001 + - Text analysis
• 0.001 + - Matrix factorization
• 0.001 + - Recurrent neural network
• 0.001 + - scispaCy
• 0.001 + - Paper/Lee1999
• 0.001 + - Paper/Levy2014
• 0.001 + - Vahe Tshitoyan
• 0.001 + - PyTorch-BigGraph