Generating Meaningful Topic Descriptions with Sentence Embeddings and LDA.
Javier Miguel Sastre-MartínezSean GormanAisling NugentAnandita PalPublished in: SIGDIAL (2022)
Keyphrases
- latent dirichlet allocation
- topic models
- topic modeling
- topic discovery
- dimensionality reduction
- linear discriminant analysis
- automatic summarization
- generative model
- latent topics
- natural language
- face recognition
- feature extraction
- probabilistic model
- vector space
- text mining
- discriminant analysis
- high level
- document set
- lda model
- cross document
- word frequency
- low dimensional
- keywords
- dimension reduction
- document summaries
- text documents
- null space
- sentence level
- euclidean space
- manifold learning
- data sets
- high dimensional data
- distance measure
- language model
- co occurrence
- principal component analysis
- pattern recognition
- machine learning