Lake-destination image attributes: A neural network content analysis

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.