A Latent Dirichlet Allocation (LDA) Semantic Text Analytics Approach to Explore Topical Features in Charity Crowdfunding Campaigns.
Prathamesh MuzumdarGeorge KurianGanga Prasad BasyalPublished in: CoRR (2024)
Keyphrases
- latent dirichlet allocation
- topic models
- topic modeling
- text mining
- lda model
- probabilistic topic models
- co occurrence
- latent topics
- text analytics
- generative model
- topic discovery
- text classification
- variational bayesian inference
- text corpora
- feature space
- feature extraction
- semantic information
- probabilistic model
- latent topic models
- probabilistic latent semantic analysis
- hierarchical bayesian model
- variational inference
- latent semantic analysis
- text documents
- machine learning
- gibbs sampling
- prior knowledge
- natural language
- free text
- semantic similarity
- maximum likelihood
- face recognition
- artificial intelligence
- data sets