Search "+Word embedding -Embedded topic model"

Positive matches

• 0.144 + - Graph embedding
• 0.070 + - Sentence embedding
• 0.070 + - Paper/Tshitoyan2019unsupervised
• 0.069 + - Science of science
• 0.068 + - Natural language processing
• 0.066 + - word2vec
• 0.064 + - GloVe
• 0.023 + - Lexical feature selection
• 0.015 + - NLP
• 0.011 + - spaCy
• 0.008 + - Convolutional neural network
• 0.005 + - Scientific communication
• 0.004 + - Gensim
• 0.004 + - WordRank
• 0.003 + - Text analysis
• 0.003 + - Peer review
• 0.003 + - Differentiable neural computers
• 0.002 + - scispaCy
• 0.002 + - Vahe Tshitoyan
• 0.002 + - Bibliometrics

Negative matches

• 0.242 + - Topic model
• 0.179 + - Continuous embedding
• 0.143 + - Network geometry
• 0.016 + - Topic modeling
• 0.013 + - Topic mapping
• 0.009 + - Twitter
• 0.008 + - LDA
• 0.007 + - NMF
• 0.007 + - sense2vec
• 0.004 + - Tweet NLP
• 0.004 + - Latent Dirichlet allocation
• 0.004 + - Non-negative matrix factorization
• 0.003 + - Paper/Hamilton2016
• 0.002 + - Deep learning
• 0.002 + - PyTorch-BigGraph
• 0.002 + - GraphSAGE
• 0.002 + - Chris McCormick
• 0.002 + - Biomedical natural language processing
• 0.002 + - Matrix factorization
• 0.002 + - Hashtag