Text mining and text analysis of academic literature on the field of Made in Italy

The primary focus of this thesis is to explore the academic literature concerning the "Made in Italy" field through advanced text mining and text analysis techniques. By examining a corpus of academic articles, books, and related documents, the study aims to extract and understand the most significant themes and concepts associated with the cultural, economic, and branding aspects of "Made in Italy." The research employs various natural language processing tools, including Latent Dirichlet Allocation (LDA), word embeddings, and clustering methods, to uncover the underlying thematic structures within the corpus. The study begins with a thorough literature review that situates "Made in Italy" within its historical and cultural context, emphasizing its significance as a symbol of quality, craftsmanship, and cultural heritage. The methodology includes extensive text preprocessing, frequency analysis, and semantic clustering to effectively organize and analyze the corpus. These analyses identify recurring topics, important n-grams, and the semantic similarities across different fields discussed in academic literature. The findings are visualized to highlight the key thematic areas and relationships between different facets of "Made in Italy." These visual representations aim to enhance understanding of how the concept is articulated across disciplines and contexts. Ultimately, the research provides a comprehensive examination of the academic discourse surrounding "Made in Italy," offering valuable insights for both scholarly and strategic purposes, particularly in preserving and promoting the cultural and economic values associated with this iconic brand. Ultimately, this research offers a comprehensive examination of the academic discourse surrounding "Made in Italy," bridging the gap between scholarly analysis and practical application. It provides valuable insights for preserving and promoting the cultural and economic values associated with this iconic brand while offering tools to inform and drive innovation in the industrial field.