Inference Algorithms in Latent Dirichlet Allocation for Semantic Classification

• 主要な著者: Mohammad Zubir, W.M.A., Abdul Aziz, I., Jaafar, J., Hasan, M.H.
• フォーマット: 論文
• 出版事項: Springer Verlag 2018
• オンライン･アクセス: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029592113&doi=10.1007%2f978-3-319-67621-0_16&partnerID=40&md5=fcaad5d0774e2882d0438b21c3ada74a; http://eprints.utp.edu.my/21887/

There are existing implementations of Latent Dirichlet Allocation (LDA) algorithm as a semantic classifier to arrange the data for efficient retrieval. However, the problem of learning or inferencing the posterior distribution of the algorithm is trivial. Inferencing directly the prior distribution...