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EWMF
2005
Springer
13 years 10 months ago
Semi-automatic Construction of Topic Ontologies
In this paper, we review two techniques for topic discovery in collections of text documents (Latent Semantic Indexing and K-Means clustering) and present how we integrated them in...
Blaz Fortuna, Dunja Mladenic, Marko Grobelnik
WIAMIS
2009
IEEE
13 years 11 months ago
Automatic topic detection strategy for information retrieval in spoken document
This paper suggests an alternative solution for the task of spoken document retrieval (SDR). The proposed system runs retrieval on multi-level transcriptions (word and phone) prod...
Shan Jin, Hemant Misra, Thomas Sikora, Joemon M. J...
ECIR
2009
Springer
14 years 2 months ago
Topic and Trend Detection in Text Collections Using Latent Dirichlet Allocation
Algorithms that enable the process of automatically mining distinct topics in document collections have become increasingly important due to their applications in many fields and ...
Levent Bolelli, Seyda Ertekin, C. Lee Giles
WWW
2008
ACM
14 years 5 months ago
Automatic web image selection with a probabilistic latent topic model
We propose a new method to select relevant images to the given keywords from images gathered from the Web based on the Probabilistic Latent Semantic Analysis (PLSA) model which is...
Keiji Yanai
CVPR
2009
IEEE
13 years 8 months ago
Robust unsupervised segmentation of degraded document images with topic models
Segmentation of document images remains a challenging vision problem. Although document images have a structured layout, capturing enough of it for segmentation can be difficult....
Timothy J. Burns, Jason J. Corso