Causal Latent Semantic Analysis (cLSA): An Illustration

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

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13 p.

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Hossain, Muhammad Muazzem; Prybutok, Victor R. & Evangelopoulos, Nicholas April 2011.

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This article is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Business to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 172 times , with 4 in the last month . More information about this article can be viewed below.

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

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13 p.

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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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  • International Business Research, 2011, Toronto: Canadian Center of Science and Education, pp. 38-50

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  • Publication Title: International Business Research
  • Volume: 4
  • Issue: 2
  • Page Start: 38
  • Page End: 50
  • Peer Reviewed: Yes

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UNT Scholarly Works

The Scholarly Works Collection is home to materials from the University of North Texas community's research, creative, and scholarly activities and serves as UNT's Open Access Repository. It brings together articles, papers, artwork, music, research data, reports, presentations, and other scholarly and creative products representing the expertise in our university community. Access to some items in this collection may be restricted.

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  • April 2011

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  • June 6, 2014, 11:19 a.m.

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Hossain, Muhammad Muazzem; Prybutok, Victor R. & Evangelopoulos, Nicholas. Causal Latent Semantic Analysis (cLSA): An Illustration, article, April 2011; [Toronto, Canada]. (digital.library.unt.edu/ark:/67531/metadc288005/: accessed May 28, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Business.