Correlated Topic Model (CTM)

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Correlated Topic Model (CTM)Correlated Topic Model (CTM) [2] extends LDA using a logistic-normal prior which explicitly models correlation patterns with a Gaussian covariance matrix. [1] J. He, Z. Hu, T. Berg-Kirkpatrick, Y. Huang, E.P. Xing, Efficient Correlated Topic Modeling with Topic Embedding, Proc. 23rd ACM SIGKDD Int. Conf. Knowl. Discov. Data Min. - KDD ’17. (2017) 225–233. doi:10.1145/3097983.3098074. [2] David M Blei and... More [2] extends LDALDA is a generative probabilistic topic model. It represents the documents as a random mixtures of topics over the latent topic space, where each topic is characterized by a distribution over a dictionary of words. LDA and its extensions are ineffective when used with short documents (texts). Issues are coming from: ineffective word relation induction and difficulties with distinguishing ambiguous... More using a logistic-normal prior which explicitly models correlation patterns with a Gaussian covariance matrix.

[1] J. He, Z. Hu, T. Berg-Kirkpatrick, Y. Huang, E.P. Xing, Efficient Correlated Topic Modeling with Topic Embedding, Proc. 23rd ACM SIGKDD Int. Conf. Knowl. Discov. Data Min. – KDD ’17. (2017) 225–233. doi:10.1145/3097983.3098074.

[2] David M Blei and John D La‚erty. 2007. A correlated topic modelCorrelated Topic Model (CTM) [2] extends LDA using a logistic-normal prior which explicitly models correlation patterns with a Gaussian covariance matrix. [1] J. He, Z. Hu, T. Berg-Kirkpatrick, Y. Huang, E.P. Xing, Efficient Correlated Topic Modeling with Topic Embedding, Proc. 23rd ACM SIGKDD Int. Conf. Knowl. Discov. Data Min. - KDD ’17. (2017) 225–233. doi:10.1145/3097983.3098074. [2] David M Blei and... More of science. The Annals of Applied Statistics (2007), 17–35.