ABSTRACT
This chapter delves into the use of content analysis to analyze unstructured textual data. The reader is introduced to Latent Semantic Analysis (LSA), an emerging method used to analyze the semantics in large bodies of text. A summary of the LSA process is provided, and an example incorporating a set of topics produced by LSA into a traditional hedonic model is shown. Related methods (e.g., sentiment analysis) are also covered.
