Investigating the Efficient Use of Word Embedding with Neural-Topic Models for Interpretable Topics from Short Texts.
Riki MurakamiBasabi ChakrabortyPublished in: Sensors (2022)
Keyphrases
- topic models
- latent topics
- short text
- short texts
- latent dirichlet allocation
- topic modeling
- co occurrence
- statistical topic models
- latent topic models
- text documents
- text mining
- latent variables
- word pairs
- text corpora
- generative model
- probabilistic topic models
- probabilistic model
- bag of words
- relevance model
- text categorization
- n gram
- machine learning