Publicação
Lake-destination image attributes: A neural network content analysis
| Resumo: | This paper aims to explore and analyse lake image attributes extracted from a content analysis of an online directory for lake enthusiasts. CATPAC, a text-mining software program based on artificial neural networks, was adopted. The resulting output was used to identify the words that were most frequently mentioned to portray image attributes related to lake-destination areas (LDA). The findings also revealed that the final set of LDA image attributes is intertwined with the main dimensions of the lake tourism concept. Keywords: Destination image, lake tourism, lake-destination areas, image attributes, content-analysis, CATPAC. |
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| Autores principais: | Correia, Antónia |
| Outros Autores: | Kozak, Metin; Rodrigues, Ana Isabel |
| Assunto: | Tourism Destination image Lake tourism CATPAC Content-analysis |
| Ano: | 2015 |
| País: | Portugal |
| Tipo de documento: | capítulo de livro |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Instituto Politécnico de Beja |
| Idioma: | inglês |
| Origem: | Repositório Institucional do IPBeja |
| Resumo: | This paper aims to explore and analyse lake image attributes extracted from a content analysis of an online directory for lake enthusiasts. CATPAC, a text-mining software program based on artificial neural networks, was adopted. The resulting output was used to identify the words that were most frequently mentioned to portray image attributes related to lake-destination areas (LDA). The findings also revealed that the final set of LDA image attributes is intertwined with the main dimensions of the lake tourism concept. Keywords: Destination image, lake tourism, lake-destination areas, image attributes, content-analysis, CATPAC. |
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