Word2vec-based latent semantic analysis (W2V-LSA) for topic modeling: A study on blockchain technology trend analysis.
Suhyeon KimHaecheong ParkJunghye LeePublished in: Expert Syst. Appl. (2020)
Keyphrases
- latent semantic analysis
- topic modeling
- co occurrence
- topic models
- latent dirichlet allocation
- probabilistic latent semantic analysis
- latent topics
- information retrieval
- trend analysis
- singular value decomposition
- text summarization
- tf idf
- text classification
- latent semantic indexing
- text mining
- artificial intelligence
- image classification
- feature selection