Latent dirichlet allocation
Citations
223 citations
Cites methods from "Latent dirichlet allocation"
...Topic model (Blei et al, 2003; Hofmann, 1999) is a type of unsupervised method....
[...]
...Through experiments, we show that exploiting the sentiment dependency is clearly advantageous, and that the Dependency-Sentiment-LDA is an effective approach for sentiment analysis....
[...]
...Recently, various joint sentiment and topic models (Mei et al, 2007; Titov and McDonald, 2008; Lin and He, 2009) are proposed based on topic model (Blei et al, 2003; Hofmann, 1999)....
[...]
223 citations
223 citations
222 citations
Cites background or methods from "Latent dirichlet allocation"
...To capture that, LDA uses a word-selection vector ϕk of size V for the topic k....
[...]
...For example, in the bug report BR9779, if θb = [0.20, 0.24, 0.12, ...], 20% of all words in b are about file editing, 24% are about file versioning, etc. 3.1.3 Generative Process LDA belongs to a type of machine learning called genera- tive model....
[...]
...We use Gibbs sampling and extend the training algorithm in LDA [6] to support our DBTM....
[...]
...LDA associates to each document b two key parameters: a) Topic Assignment Vector zb....
[...]
...We use hyper parameters α and β as in LDA. α is the parameter of the uniform Dirichlet prior on topic distributions θbi and θF . β is the parameter of the uniform Dirichlet prior on the per-topic word selection distribution ϕ....
[...]
222 citations
References
17,608 citations
16,079 citations
"Latent dirichlet allocation" refers background in this paper
...Finally, Griffiths and Steyvers (2002) have presented a Markov chain Monte Carlo algorithm for LDA....
[...]
...Structures similar to that shown in Figure 1 are often studied in Bayesian statistical modeling, where they are referred to ashierarchical models(Gelman et al., 1995), or more precisely asconditionally independent hierarchical models(Kass and Steffey, 1989)....
[...]
...Structures similar to that shown in Figure 1 are often studied in Bayesian statistical modeling, where they are referred to as hierarchical models (Gelman et al., 1995), or more precisely as conditionally independent hierarchical models (Kass and Steffey, 1989)....
[...]
12,443 citations
"Latent dirichlet allocation" refers methods in this paper
...To address these shortcomings, IR researchers have proposed several other dimensionality reduction techniques, most notably latent semantic indexing (LSI) (Deerwester et al., 1990)....
[...]
...To address these shortcomings, IR researchers have proposed several other dimensionality reduction techniques, most notablylatent semantic indexing (LSI)(Deerwester et al., 1990)....
[...]
12,059 citations
"Latent dirichlet allocation" refers background or methods in this paper
...In the populartf-idf scheme (Salton and McGill, 1983), a basic vocabulary of “words” or “terms” is chosen, and, for each document in the corpus, a count is formed of the number of occurrences of each word....
[...]
...We report results in document modeling, text classification, and collaborative filtering, comparing to a mixture of unigrams model and the probabilistic LSI model....
[...]
7,086 citations