Latent Semantic Analysis: five methodological recommendations

  title={Latent Semantic Analysis: five methodological recommendations},
  author={Nicholas Evangelopoulos and Xiaoni Zhang and Victor R. Prybutok},
The recent influx in generation, storage and availability of textual data presents researchers with the challenge of developing suitable methods for their analysis. Latent Semantic Analysis (LSA), a member of a family of methodological approaches that offers an opportunity to address this gap by describing the semantic content in textual data as a set of vectors, was pioneered by researchers in psychology, information retrieval, and bibliometrics. LSA involves a matrix operation called singular… CONTINUE READING
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