Probabilistic Explicit Topic Modeling Using Wikipedia
Probabilistic Explicit Topic Modeling Using Wikipedia is a scholarly work, published in 2013 in ''Lecture Notes in Computer Science''. The main subjects of the publication include Multi-label classification, computer science, academic studies about Wikipedia, Dirichlet distribution, artificial intelligence, statistical machine translation, identifiability, word, probabilistic logic, a priori and a posteriori, natural language processing, topic model, Wikipedia, machine learning, topic modeling, latent Dirichlet allocation, and information retrieval. The paper introduces two methods for probabilistic explicit topic modeling that address these issues: Latent Dirichlet Allocation with Static Topic-Word Distributions (LDA-STWD), and Explicit Dirichlet Allocation (EDA).