In this paper we present the methodology and results of the automatic analysis of the transcripts of the interviews carried out under the project "ideas and projects for better reconstruction" (Esposito et al., 2017). Four strategic areas are considered: the Territorial Cohesion Agency, the Casa Italia Plan, the Civil Protection, and that of a community model of action in the community. The goal is twofold. On the one hand, it is intended to offer a systematic reading of the specificities and elements common to the various aspects considered in the interviews. On the other hand, we want to explore some methodological ideas in the automatic analysis of the texts on the following issues: integration of analytical tools, constraints resulting from the size of the corpus, interpretative potential of graphical representation of results, integration between automatic information retrieval, auto-coding of a corpus and expert reading.

Strategie, pubbliche e private, in azione per ri-costruire meglio. Analisi dei testi di quattro interviste

Pavone, P.
2017-01-01

Abstract

In this paper we present the methodology and results of the automatic analysis of the transcripts of the interviews carried out under the project "ideas and projects for better reconstruction" (Esposito et al., 2017). Four strategic areas are considered: the Territorial Cohesion Agency, the Casa Italia Plan, the Civil Protection, and that of a community model of action in the community. The goal is twofold. On the one hand, it is intended to offer a systematic reading of the specificities and elements common to the various aspects considered in the interviews. On the other hand, we want to explore some methodological ideas in the automatic analysis of the texts on the following issues: integration of analytical tools, constraints resulting from the size of the corpus, interpretative potential of graphical representation of results, integration between automatic information retrieval, auto-coding of a corpus and expert reading.
2017
automatic information retrieval
content analysis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12607/38052
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