Skip navigation
Please use this identifier to cite or link to this item:

Title: Lake-destination image attributes: A neural network content analysis
Authors: Rodrigues, Ana Isabel
Correia, Antónia
Kozak, Metin
Keywords: Tourism
Destination image
Lake tourism
Issue Date: 2015
Publisher: Routledge
Citation: Rodrigues, A., Correia, A. & Kozak (2015). Lake-destination image attributes: A neural content analysis. In M. Kozak, M. & N. Kozak (Eds.). Destination Marketing: An International Perspective, Routledge.
Abstract: 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.
Peer reviewed: yes
ISBN: 9781315720050
Publisher version:
Appears in Collections:D-CE - Livros e Capítulos de Livro

Files in This Item:
File Description SizeFormat 
Destination Marketing_PDFA.pdf296 kBAdobe PDFView/Open

FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Currículo DeGóis 

This item is licensed under a Creative Commons License Creative Commons