Latent dirichlet allocation
Citations
150 citations
Cites methods from "Latent dirichlet allocation"
...By the introduction of the class variable c and separate parameters αc for each class, the model is ex- pected to capture more class-relevant semantic features compared with fully-unsupervised LDA....
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...The reason for that, we believe, is that LDA only estimates one Dirichlet parameter whereas CLTOM estimates K times the number of classes Dirichlet parameters....
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...The learning of the CLTOM is done using a variational EM algorithm [3]....
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...• We propose a novel target-specific latent Dirichlet topic model that is an extension of the standard LDA technique and performs better for topic numbers of up to 100....
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...We developed a new statistical model, the latent Class-Topic Model (CLTOM), which is an extension of latent Dirichlet allocation (LDA) [3] in such a way that it incorporates category information of emails during the model inference for topic extraction....
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150 citations
Cites methods from "Latent dirichlet allocation"
...[37] utilized latent Dirichlet allocation [38] to infer the latent topics in the sample documents and then used logistic regression to compute the probability that a given candidate criterion belongs to a particular topic....
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150 citations
Cites methods from "Latent dirichlet allocation"
...Using Latent Dirichlet Allocation ([10]), they identify a number of latent topics and corresponding exemplary images from this crawled set....
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149 citations
Cites methods from "Latent dirichlet allocation"
...Dataset Evaluation 6 How do we trace requirements: Kong, Huffman N/A OS: BlueJ Level 3 an initial study of analyst Hayes, Dekhtyar, plugin (49) (13 subj.) behavior in trace Holden validation tasks 6 Technique integration for Dekhtyar, Huffman VSM, LSI Ind: CM-1 (455) Level 1 requirements assesment Hayes, Sundaram, (N/A), BIM Holbrook, Dekhtyar LDA (N/A), Chi2 key extr....
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...Dataset Evaluation 1 Traceclipse: an eclipse plug-in for Klock, Gethers, Dit, Unclear Ind: CM-1 (455), Level 1 traceability link recovery and Poshyvanyk Stud: EasyClinic management (150) 0 A combination approach for Chen, Hosking, VSM OS: JDK 1.5 (N/A) Level 1 enhancing automated traceability: Grundy (NIER track) 0 A comparative study of document Parvathy, VSM, LSI Unclear: (43), (261) Level 1 correlation techniques for Vasudevan, (k=10), traceability analysis Balakrishnan LDA (t=21), CTM 0 A requirement traceability Kong, Li, Li, VSM, Ind: Web Level 1 refinement method based on Yang, Wang LM app (511) relevance feedback 0 An improving approach for Di, Zhang BIM Ind: CM-1 (455), Level 1 recovering requirements-to- MODIS (68) design traceability links 0 Proximity-based traceability: Kong, Huffman VSM Ind: CM-1 (75), Level 2 an empirical validation using Hayes OS: Pine (182), ranked retrieval and set-based Univ: StyleChecker (49), measures Stud: EasyClinic (77) 0 Reconstructing traceability Kaushik, Tahvildari, LSI Ind: RIM (13389) Level 1 between bugs and test cases: Moore (k=50–500, an experimental study 150–200) 0 Requirements traceability for Ali, Guéhéneuc, VSM OS: Pooka (388), Level 1 object oriented systems by Antoniol SIP (1853), partitioning source code Univ: iTrust (526) 0 Software verification and Huffman Hayes, VSM Stud: EasyClinic (150), Level 2 validation research laboratory Sultanov, Kong, Li eTour (174) (SVVRL) of the University of Kentucky: traceability challenge 2011: language translation 0 The role of the coverage analysis De Lucia, Oliveto, LSI (N/A) Stud: EasyClinic (150) Level 3 during IR-based traceability Tortora (30 subj.) recovery: a controlled experiment 0 Towards a benchmark Ben Charrada, VSM Univ: AquaLush (793) Level 1 for traceability Casper, Jeanneret, Glinz Publications Author's personal copy Empir Software Eng...
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...%) with traceability recovery features 58 Recovery of traceability links Marcus, Maletic, LSI (N/A) Univ: LEDA (228– Level 1 between software Sergeyev 803), Stud: documentation and Albergate (73) source code 44 Recovering code Antoniol, Canfora, BIM Univ: LEDA (296) Level 1 to documentation De Lucia, Marlo links in OO systems 40 Fine grained indexing Canfora, Cerulo BM25 OS: Gedit (233), Level 1 of software repositories ArgoUML (2208), to support Firefox (680) impact analysis 38 ADAMS Re-Trace: De Lucia, Fasano, LSI (N/A) Stud: (48, 50, 54, Level 4 a traceability Oliveto, Tortora 55, 73, 74, 111) (7 proj.) recovery tool 36 On the equivalence Oliveto, Gethers, VSM, LSI (N/A), Stud: EasyClinic (77), Level 1 of information Poshyvanyk, LM, eTour (174) retrieval methods for De Lucia LDA (t=50–300) automated traceability link recovery 33 Incremental approach De Lucia, Oliveto, VSM, LSI (k=10, Ind: MODIS (68), Level 1 and user feedbacks: Sgueglia 19, (MODIS), Stud: EasyClinic (150) a silver bullet for 60 (EasyClinic)) traceability recovery 30 A machine learning approach Cleland-Huang, PIN Mixed: (254) Level 2 for tracing regulatory Czauderna, Gibiec, codes to product Emenecker specific requirements Author's personal copy Empir Software Eng Table 8 (continued) Cit....
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...Regarding LDA, the number of topics (t) is reported....
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...…research, studies applying the four topic models Probabilistic Latent Semantic Indexing (PLSI) (Hofman 2001), Latent Dirichlet Allocation (LDA) (Blei et al. 2003), Correlated Topic Model (CTM) (Blei and Lafferty 2007) and Relational Topic Model (RTM) (Chang and Blei 2010) have been conducted....
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149 citations
Cites background or methods from "Latent dirichlet allocation"
...topics that contributed to their generation) originates in well known Bayesian model coined Latent Dirichlet Allocation (LDA) [4]....
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...From a general perspective, our model can be seen as an extension of Latent Dirichlet Allocation (LDA) introduced in [4]....
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References
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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....
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...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)....
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...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)....
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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)....
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...To address these shortcomings, IR researchers have proposed several other dimensionality reduction techniques, most notablylatent semantic indexing (LSI)(Deerwester et al., 1990)....
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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....
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...We report results in document modeling, text classification, and collaborative filtering, comparing to a mixture of unigrams model and the probabilistic LSI model....
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7,086 citations