ACASM is an automated procedure of text analysis that enables a large amount of data to be processed in an efficient, reliable, and valid way. ACASM is based on the view of meaning as a matter of sign transitions. In the case of texts, sign transitions consist of syntagmatic associations, namely co-occurrences between words within the same contextual units (e.g., a paragraph of the text). ACASM detects co-occurrences by means of a multidimensional procedure of analysis, applied to the corpus under investigation. The first part of this chapter describes the ACASM rationale and procedure. The second part reviews studies that have analyzed reliability and validity of the method as well as studies that have applied it.
The Themes of Texts: Automatic Co-occurrence Analysis for Semantic Mapping (ACASM) / Gennaro, Alessandro; Salvatore, Sergio. - (2023), pp. 83-105. - CULTURE IN POLICY MAKING. [10.1007/978-3-031-21995-5_4].