Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: VSEC-LDA: Boosting Topic Modeling with Embedded Vocabulary Selection   Topic modeling has found wide application in many problems where latent
structures of the data are crucial for typical inference tasks. When applying a
topic model, a relatively standard pre-processing step is to first build a
vocabulary of frequent words. Such a general pre-processing step is often
independent of the topic modeling stage, and thus there is no guarantee that
the pre-generated vocabulary can support the inference of some optimal (or even
meaningful) topic models appropriate for a given task, especially for computer
vision applications involving "visual words". In this paper, we propose a new
approach to topic modeling, termed Vocabulary-Selection-Embedded
Correspondence-LDA (VSEC-LDA), which learns the latent model while
simultaneously selecting most relevant words. The selection of words is driven
by an entropy-based metric that measures the relative contribution of the words
to the underlying model, and is done dynamically while the model is learned. We
present three variants of VSEC-LDA and evaluate the proposed approach with
experiments on both synthetic and real databases from different applications.
The results demonstrate the effectiveness of built-in vocabulary selection and
its importance in improving the performance of topic modeling.

10
The categories of this paper are: q-bio
9
The categories of this paper are: nlin
35
The categories of this paper are: mtrl-th
34
The categories of this paper are: chem-ph
19
The categories of this paper are: eess
6
The categories of this paper are: astro-ph
31
The categories of this paper are: ao-sci
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
4
The categories of this paper are: cond-mat
12
The categories of this paper are: nucl-th
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The categories of this paper are: dg-ga
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The categories of this paper are: alg-geom
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The categories of this paper are: stat
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The categories of this paper are: supr-con
11
The categories of this paper are: hep-lat