Causal Latent Semantic Analysis (cLSA): An Illustration

Description:

Article discussing an illustration of causal latent semantic analysis (cLSA).

Creator(s):
Creation Date: April 2011
Partner(s):
UNT College of Business
Collection(s):
UNT Scholarly Works
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Total Uses: 19
Past 30 days: 2
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Creator (Author):
Hossain, Muhammad Muazzem

Grant MacEwan University

Creator (Author):
Prybutok, Victor R.

University of North Texas

Creator (Author):
Evangelopoulos, Nicholas

University of North Texas

Publisher Info:
Place of Publication: [Toronto, Canada]
Date(s):
  • Creation: April 2011
Description:

Article discussing an illustration of causal latent semantic analysis (cLSA).

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Note:

Abstract: Latent semantic analysis (LSA), a mathematical and statistical technique, is used to uncover latent semantic structure within a text corpus. It is a methodology that can extract the contextual-usage meaning of words and obtain approximate estimates of meaning similarities among words and text passages. While LSA has a plethora of applications such as natural language processing and library indexing, it lacks the ability to validate models that possess interrelations and/or causal relationships between constructs. The objective of this study is to develop a modified latent semantic analysis called the causal latent semantic analysis (cLSA) that can be used both to uncover the latent semantic factors and to establish causal relationships among these factors. The cLSA methodology illustrated in this study will provide academicians with a new approach to test causal models based on quantitative analysis of the textual data. The managerial implication of this study is that managers can get an aggregated understanding of their business models because the cLSA methodology provides a validation of them based on anecdotal evidence.

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13 p.

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Subject(s):
Keyword(s): causal latent semantic analysis | CLSA | latent semantic analysis | LSA
Source: International Business Research, 2011, Toronto: Canadian Center of Science and Education, pp. 38-50
Partner:
UNT College of Business
Collection:
UNT Scholarly Works
Identifier:
  • DOI: 10.5539/ibr.v4n2p38
  • ARK: ark:/67531/metadc288005
Resource Type: Article
Format: Text
Rights:
Access: Public
Citation:
Publication Title: International Business Research
Volume: 4
Issue: 2
Page Start: 38
Page End: 50
Peer Reviewed: Yes