Natural Language Processing via LDA Topic Model in Recommendation Systems.
Hamed JelodarYongli WangMahdi RabbaniSeyedvalyallah AyobiPublished in: CoRR (2019)
Keyphrases
- recommendation systems
- topic models
- natural language processing
- text mining
- latent dirichlet allocation
- topic modeling
- information extraction
- collaborative filtering
- user preferences
- text documents
- latent variables
- latent topics
- computational linguistics
- topic discovery
- natural language
- machine learning
- wordnet
- lda model
- co occurrence
- probabilistic model
- generative model
- web search
- gibbs sampling
- recommender systems
- text analysis
- user feedback
- search engine
- probabilistic latent semantic analysis
- variational inference
- semantic relations
- knowledge representation
- latent topic models
- word sense disambiguation
- named entities
- bayesian networks
- text corpora
- text classification
- probabilistic topic models
- artificial intelligence