<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1646-9895</journal-id>
<journal-title><![CDATA[RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação]]></journal-title>
<abbrev-journal-title><![CDATA[RISTI]]></abbrev-journal-title>
<issn>1646-9895</issn>
<publisher>
<publisher-name><![CDATA[AISTI - Associação Ibérica de Sistemas e Tecnologias de Informação]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1646-98952020000500089</article-id>
<article-id pub-id-type="doi">10.17013/risti.40.89-111</article-id>
<title-group>
<article-title xml:lang="pt"><![CDATA[Estudo da imagem da região turística de Lisboa]]></article-title>
<article-title xml:lang="en"><![CDATA[Study of the image of the tourist region of Lisbon]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cerdeira]]></surname>
<given-names><![CDATA[João H. da Luz]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Fernandes]]></surname>
<given-names><![CDATA[Adriana]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Universitário de Lisboa ISCTE-IUL Departamento de Marketing, Operações e Gestão Geral ]]></institution>
<addr-line><![CDATA[Lisboa ]]></addr-line>
<country>Portugal</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Instituto Universitário de Lisboa ISCTE-IUL Departamento de Ciências e Tecnologias da Informação ]]></institution>
<addr-line><![CDATA[Lisboa ]]></addr-line>
<country>Portugal</country>
</aff>
<pub-date pub-type="pub">
<day>31</day>
<month>12</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>31</day>
<month>12</month>
<year>2020</year>
</pub-date>
<numero>40</numero>
<fpage>89</fpage>
<lpage>111</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_arttext&amp;pid=S1646-98952020000500089&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_abstract&amp;pid=S1646-98952020000500089&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.pt/scielo.php?script=sci_pdf&amp;pid=S1646-98952020000500089&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo A indústria turística mundial registou um crescimento anual constante e encontrava-se em franca expansão até março de 2020, quando foi fortemente afetada pela pandemia Covid-19. Acredita-se que para a reinvenção e reforma do setor se terá de investir fortemente na criação e gestão da perceção dos turistas sobre a imagem dos destinos turísticos. Tendo em vista este contexto, o presente estudo objetiva analisar a imagem da região de Lisboa através da utilização de User Generated Content (UGC). A metodologia utilizada tem como base de análise três componentes de interações do turista com o destino: imagem Designativa, Estimativa e Prescritiva. Foram utilizados 51 mil reviews do ano de 2019, em inglês, contendo opinião de turistas de 131 nacionalidades sobre a região turística de Lisboa. Os resultados revelam que Lisboa tem uma imagem caracterizada por reviews positivos e oferecem novos conhecimentos sobre a gestão da imagem do destino.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract The tourism industry has consistently been flourishing until 2020 when the Covid-19 pandemic broke. It is believed that the knowledge and analysis of tourism destination images will be a crucial tool for the reform and reinvention of the activity and relaunch of tourism. Through the usage of User Generated Content (UGC) collected from TripAdvisor, this study aims to reveal the tourism destination image of Lisbon. To analyze the tourism image, a three-phase method was utilized bearing three distinct tourist interactions with the destination: designative image, appraisive image and prescriptive image. This study compiled 51.000 reviews written in English in 2019, with the opinion of 131 different nationalities about the region of Lisbon. Results recognize Lisbon with having several more positive reviews than negative ones and offer new untapped knowledge to manage the region&#8217;s tourism.]]></p></abstract>
<kwd-group>
<kwd lng="pt"><![CDATA[User Generated Content]]></kwd>
<kwd lng="pt"><![CDATA[Tourism Destination Image]]></kwd>
<kwd lng="pt"><![CDATA[Smart Tourism]]></kwd>
<kwd lng="pt"><![CDATA[Lisboa]]></kwd>
<kwd lng="en"><![CDATA[User Generated Content]]></kwd>
<kwd lng="en"><![CDATA[Tourism Destination Image]]></kwd>
<kwd lng="en"><![CDATA[Smart Tourism]]></kwd>
<kwd lng="en"><![CDATA[Lisbon]]></kwd>
</kwd-group>
</article-meta>
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