48 search results - page 4 / 10 » Gaussian LDA for Topic Models with Word Embeddings |
82
Voted
EMNLP
2008
14 years 12 months ago
2008
Previously topic models such as PLSI (Probabilistic Latent Semantic Indexing) and LDA (Latent Dirichlet Allocation) were developed for modeling the contents of plain texts. Recent...
110
click to vote
ACML
2009
Springer
15 years 5 months ago
2009
Springer
Enterprises have accumulated both structured and unstructured data steadily as computing resources improve. However, previous research on enterprise data mining often treats these ...
76
Voted
NIPS
2007
14 years 12 months ago
2007
In recent years, the language model Latent Dirichlet Allocation (LDA), which clusters co-occurring words into topics, has been widely applied in the computer vision field. Howeve...
108
Voted
CIKM
2009
Springer
15 years 3 months ago
2009
Springer
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
89
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...