Knowledge discovery from the texts of Nobel Prize winners in literature: sentiment analysis and Latent Dirichlet Allocation.
Bilal Baris AlkanLeyla KarakusBekir DirekçiPublished in: Scientometrics (2023)
Keyphrases
- sentiment analysis
- latent dirichlet allocation
- text mining
- knowledge discovery
- topic models
- text documents
- opinion mining
- topic modeling
- text classification
- sentiment classification
- latent topics
- natural language processing
- probabilistic topic models
- lda model
- sentence level
- generative model
- product reviews
- sentiment lexicon
- gibbs sampling
- data mining
- document clustering
- information extraction
- data analysis
- product features
- information retrieval
- machine learning
- named entities
- text corpora
- association rules
- cross domain
- news articles
- image classification
- natural language