Search "+Diversity -Paper +Paper/Iacopini2018 -Weighted network -Paper/Tshitoyan2019unsupervised -Creative work +Vahe Tshitoyan -Andreas Wagner +Topic model"

Positive matches

• 0.048 + - Natural language processing
• 0.037 + - Heaps' law
• 0.019 + - Basic research
• 0.016 + - Twitter
• 0.016 + - LDA
• 0.016 + - NMF
• 0.016 + - Topic mapping
• 0.016 + - Topic modeling
• 0.012 + - Embedded topic model
• 0.006 + - StanfordNLP
• 0.005 + - Convolutional neural network
• 0.005 + - Continuous embedding
• 0.004 + - Biomedical natural language processing
• 0.003 + - Lexical feature selection
• 0.003 + - NLP
• 0.003 + - Meme
• 0.003 + - William Rosen
• 0.002 + - Non-negative matrix factorization
• 0.002 + - Latent Dirichlet allocation
• 0.002 + - GloVe

Negative matches

• 0.078 + - Sentence embedding
• 0.056 + - Paper/Wasserman2015crossevaluation
• 0.055 + - Graph visualization
• 0.054 + - Network science
• 0.046 + - BioFabric
• 0.021 + - Innovation
• 0.014 + - Innovation hot spots
• 0.012 + - Simplicial complex
• 0.010 + - Olga Kononova
• 0.010 + - Kristin A. Persson
• 0.010 + - Alexander Dunn
• 0.010 + - Ziqin Rong
• 0.010 + - Anubhav Jain
• 0.010 + - John Dagdelen
• 0.010 + - Gerbrand Ceder
• 0.010 + - Leigh Weston
• 0.010 + - Link prediction
• 0.008 + - Link analysis
• 0.006 + - Complex systems
• 0.006 + - Word embedding