<?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>0124-2253</journal-id>
<journal-title><![CDATA[Revista científica]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Cient.]]></abbrev-journal-title>
<issn>0124-2253</issn>
<publisher>
<publisher-name><![CDATA[Universidad Distrital Francisco José de Caldas]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0124-22532022000200215</article-id>
<article-id pub-id-type="doi">10.14483/23448350.18971</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Aplicación de la computación afectiva en el análisis de la percepción de los asistentes a una feria de emprendimiento del SENA]]></article-title>
<article-title xml:lang="en"><![CDATA[Application of Affective Computing in the Perception Analysis of Attendees of a SENA Entrepreneurship Fair]]></article-title>
<article-title xml:lang="pt"><![CDATA[Aplicação da inteligência artificial na formulação de políticas públicas relacionadas à vocação agrícola das regiões]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Chanchí-Golondrino]]></surname>
<given-names><![CDATA[Gabriel-Elías]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández-Londoño]]></surname>
<given-names><![CDATA[Claudia-Estella]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ospina-Alarcón]]></surname>
<given-names><![CDATA[Manuel-Alejandro]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Cartagena  ]]></institution>
<addr-line><![CDATA[Cartagena de Indias Bolívar]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Cartagena  ]]></institution>
<addr-line><![CDATA[Cartagena de Indias Bolívar]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,aff3  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2022</year>
</pub-date>
<numero>44</numero>
<fpage>215</fpage>
<lpage>227</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_arttext&amp;pid=S0124-22532022000200215&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_abstract&amp;pid=S0124-22532022000200215&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.co/scielo.php?script=sci_pdf&amp;pid=S0124-22532022000200215&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La computación afectiva es un área de investigación emergente, centrada en el desarrollo de sistemas con capacidad para reconocer, procesar y simular las emociones humanas con el fin de mejorar la interacción entre el usuario y el computador. Uno de los campos potenciales en los que esta puede emplearse es el marketing, a través del estudio de la percepción de los usuarios mediante el uso de técnicas de análisis de sentimientos y emociones sobre las opiniones de los usuarios con respecto a los productos y servicios de las empresas. A manera de contribución, este artículo propone el desarrollo de un estudio de análisis de emociones sobre el texto de las opiniones de los asistentes a una feria virtual de emprendimiento denominada Marketing from Home, la cual fue desarrollada durante el confinamiento de la pandemia y coorganizada por el SENA y la Universidad de Cartagena. Para el desarrollo de esta investigación se tuvieron en cuenta cuatro fases metodológicas: exploración y selección de tecnologías de análisis de emociones; limpieza y adecuación del texto de las opiniones; obtención de la distribución porcentual de las emociones en el texto de las opiniones; y análisis de la percepción de los asistentes a la feria. El estudio permitió determinar la distribución porcentual de las seis emociones básicas (felicidad, enojo, tristeza, euforia, miedo y aburrimiento) sobre el texto de las opiniones de los asistentes a la feria virtual Marketing from Home, de cara a la obtención de la percepción general sobre la logística, los stands virtuales y los productos ofrecidos.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Affective computing is an emerging area of research that is focused on the development of systems with the ability to recognize, process, and simulate human emotions with the purpose of improving the interaction between the user and the system. One of the potential fields in which it can be used is marketing, through the study of user perception via the use of sentiment and emotion analysis techniques on the opinions of users with respect to the products and services offered by companies. As a contribution, this article proposes the development of a study on emotion analysis based on the text containing the opinions of the attendees to a virtual entrepreneurship fair called Marketing from Home, which was developed during the pandemic lockdown and co-organized by SENA and Universidad de Cartagena. To carry out this research, four methodological phases were taken into account: exploration and selection of technologies for emotion analysis; cleaning and adapting the text of the opinions; obtaining the percentage distribution of emotions in the text with the opinions; and analyzing the perception of the fair attendees. The study allowed determining the percentage distribution of the six basic emotions (happiness, anger, sadness, euphoria, fear, and boredom) across the text containing the opinions of the attendees to the Marketing from Home virtual fair, in order to obtain the general perception of the logistics, the virtual stands, and the products offered.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo A computação afetiva é uma área emergente de pesquisa, focada no desenvolvimento de sistemas com a capacidade de reconhecer, processar e simular emoções humanas a fim de melhorar a interação usuário-computador. Um dos campos potenciais em que ele pode ser usado é no marketing através do estudo da percepção do usuário, utilizando técnicas de análise de sentimentos e emoções sobre a opinião dos usuários sobre os produtos e serviços das empresas. Este artigo propõe como contribuição o desenvolvimento de um estudo de análise emocional sobre o texto das opiniões dos participantes de uma feira virtual de empreendedorismo chamada &#8220;Marketing from Home&#8221;, que foi desenvolvida durante o confinamento e co-organizada pelo SENA e pela Universidade de Cartagena. Para o desenvolvimento desta pesquisa, foram levadas em conta 4 fases metodológicas: exploração e seleção de tecnologias para a análise das emoções, limpeza e adaptação do texto das opiniões, obtenção da distribuição percentual das emoções no texto das opiniões e análise da percepção dos participantes da feira. O estudo desenvolvido permitiu determinar a distribuição percentual das 6 emoções básicas (felicidade, raiva, tristeza, euforia, medo e tédio) sobre o texto das opiniões dos participantes da feira virtual &#8220;Marketing from Home&#8221;, com o objetivo de obter uma percepção geral da logística, dos estandes virtuais e dos produtos oferecidos.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[análisis de emociones]]></kwd>
<kwd lng="es"><![CDATA[computación afectiva]]></kwd>
<kwd lng="es"><![CDATA[emprendimiento]]></kwd>
<kwd lng="es"><![CDATA[marketing.]]></kwd>
<kwd lng="en"><![CDATA[affective computing]]></kwd>
<kwd lng="en"><![CDATA[emotion analysis]]></kwd>
<kwd lng="en"><![CDATA[entrepreneurship]]></kwd>
<kwd lng="en"><![CDATA[marketing.]]></kwd>
<kwd lng="pt"><![CDATA[análise das emoções]]></kwd>
<kwd lng="pt"><![CDATA[computação afetiva]]></kwd>
<kwd lng="pt"><![CDATA[empreendedorismo]]></kwd>
<kwd lng="pt"><![CDATA[marketing.]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ali]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Marc]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Omar]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Soulaimane]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Larbi]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Exploring destination&#8217;s negative e-reputation using aspect based sentiment analysis approach: Case of Marrakech destination on TripAdvisor]]></source>
<year>2021</year>
<numero>40</numero>
<issue>40</issue>
<publisher-name><![CDATA[Tourism Management Perspectives]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Balahadia]]></surname>
<given-names><![CDATA[F. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Fernando]]></surname>
<given-names><![CDATA[M. C. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Juanatas]]></surname>
<given-names><![CDATA[I. C.]]></given-names>
</name>
</person-group>
<source><![CDATA[Teacher&#8217;s performance evaluation tool using opinion mining with sentiment analysis]]></source>
<year>2016</year>
<page-range>95-8</page-range><publisher-name><![CDATA[Proceedings 2016 IEEE Region 10 Symposium, TENSYMP]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Baldasarri]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Computación afectiva: tecnología y emociones para mejorar la experiencia de usuario]]></article-title>
<source><![CDATA[Revista Institucional de la Facultad de Informática]]></source>
<year>2016</year>
<numero>3</numero>
<issue>3</issue>
<page-range>14-5</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chanchí]]></surname>
<given-names><![CDATA[G. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Campo]]></surname>
<given-names><![CDATA[W. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Sierra]]></surname>
<given-names><![CDATA[L. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Estudio del atributo satisfacción en pruebas de usabilidad, mediante técnicas de análisis de sentimientos]]></article-title>
<source><![CDATA[Revista Ibérica de Sistemas e Tecnologias de Informação]]></source>
<year>2019</year>
<numero>E23</numero>
<issue>E23</issue>
<page-range>340-52</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chanchí]]></surname>
<given-names><![CDATA[G. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Cordoba]]></surname>
<given-names><![CDATA[A. E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Análisis de emociones y sentimientos sobre el discurso de firma del acuerdo de paz en Colombia]]></article-title>
<source><![CDATA[Revista Ibérica de Sistemas e Tecnologias de Informação]]></source>
<year>2019</year>
<volume>E22</volume>
<numero>8</numero>
<issue>8</issue>
<page-range>95-107</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dam]]></surname>
<given-names><![CDATA[Q. B.]]></given-names>
</name>
</person-group>
<source><![CDATA[The MPG survey: Questioning the biased perception of automobile fuel economy]]></source>
<year>2008</year>
<publisher-name><![CDATA[IEEE Energy 2030 Conference]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Howells]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Ertugan]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Applying fuzzy logic for sentiment analysis of social media network data in marketing]]></article-title>
<source><![CDATA[Procedia Computer Science]]></source>
<year>2017</year>
<numero>120</numero>
<issue>120</issue>
<page-range>664-70</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ikoro]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Sharmina]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Malik]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Batista-Navarro]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<source><![CDATA[Analyzing sentiments expressed on Twitter by UK Energy Company consumers. En 5th International Conference on Social Networks Analysis, Management and Security, SNAMS]]></source>
<year>2018</year>
<page-range>95-8</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kanavos]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Vonitsanos]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Mohasseb]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Mylonas]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<source><![CDATA[An entropy-based evaluation for sentiment analysis of stock market prices using Twitter data. En 15th International Workshop on Semantic and Social Media Adaptation and Personalization]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kauffmann]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Peral]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Gil]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Ferrández]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Sellers]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Mora]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A framework for big data analytics in commercial social networks: A case study on sentiment analysis and fake review detection for marketing decision-making]]></article-title>
<source><![CDATA[Industrial Marketing Management]]></source>
<year>2020</year>
<numero>90</numero>
<issue>90</issue>
<page-range>523-37</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kidd]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Westerhoff]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Maynard]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Survey of industrial perceptions for the use of nanomaterials for in-home drinking water purification devices]]></article-title>
<source><![CDATA[NanoImpact]]></source>
<year>2021</year>
<numero>22</numero>
<edition>e100320</edition>
<issue>22</issue>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kuiper]]></surname>
<given-names><![CDATA[P. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Hood]]></surname>
<given-names><![CDATA[K. M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Examining sentiment analysis when evaluating survey responses. En Proceedings 13th IEEE International Conference on Semantic Computing]]></source>
<year>2019</year>
<page-range>412-5</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[C.-C.]]></given-names>
</name>
<name>
<surname><![CDATA[Gao]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Tsai]]></surname>
<given-names><![CDATA[C.-L.]]></given-names>
</name>
</person-group>
<source><![CDATA[BERT-Based stock market sentiment analysis. En IEEE International Conference on Consumer Electronics - Taiwan, Taiwan]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhong]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Gong]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Han]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[E-word of mouth sentiment analysis for user behavior studies]]></article-title>
<source><![CDATA[Information Processing &amp; Management]]></source>
<year>2022</year>
<volume>59</volume>
<numero>1</numero>
<edition>e102784</edition>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[H.-C. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[T.-H.]]></given-names>
</name>
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[G.-C.]]></given-names>
</name>
<name>
<surname><![CDATA[Cheng]]></surname>
<given-names><![CDATA[S.-C.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[H.-R.]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[Y.-M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Applying sentiment analysis to automatically classify consumer comments concerning marketing 4Cs aspects]]></source>
<year>2020</year>
<numero>97</numero>
<edition>e106755</edition>
<issue>97</issue>
<publisher-name><![CDATA[Applied Soft Computing]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lu]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhou]]></surname>
<given-names><![CDATA[W.-A.]]></given-names>
</name>
<name>
<surname><![CDATA[Junde]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[Quantitative customer perception evaluation for telecommunication service. En 3rd International Conference on Pervasive Computing and Applications]]></source>
<year>2008</year>
<page-range>912-5</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Park]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Framework for sentiment-driven evaluation of customer satisfaction with cosmetics brands]]></source>
<year>2020</year>
<numero>8</numero>
<issue>8</issue>
<page-range>98526-38</page-range><publisher-name><![CDATA[IEEE Access]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Roy]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Sehgal]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Agrawal]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[An approach to sentiment analysis of Twitter data on the Goods and Services Tax. En International Conference on Advances in Computing, Communication Control and Networking]]></source>
<year>2018</year>
<page-range>32-6</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rudovic]]></surname>
<given-names><![CDATA[O. O.]]></given-names>
</name>
</person-group>
<source><![CDATA[Machine learning for affective computing and its applications to automated measurement of human facial affect. En International Symposium on Micro-NanoMechatronics and Human Science]]></source>
<year>2016</year>
</nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tshering]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Dhungyel]]></surname>
<given-names><![CDATA[P. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Yangdon]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<source><![CDATA[Customer perception on online banking system in Bhutan: A study on mobile banking of Bank of Bhutan. En Proceedings of the 2018 International Conference on Current Trends towards Converging Technologies]]></source>
<year>2018</year>
</nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Z.-H.]]></given-names>
</name>
<name>
<surname><![CDATA[Kaloush]]></surname>
<given-names><![CDATA[K. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Shacat]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Perceptions of urban heat island mitigation and implementation strategies: Survey and gap analysis]]></article-title>
<source><![CDATA[Sustainable Cities and Society]]></source>
<year>2021</year>
<numero>66</numero>
<edition>e102687</edition>
<issue>66</issue>
</nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Woon]]></surname>
<given-names><![CDATA[Y. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Suhaini]]></surname>
<given-names><![CDATA[S. A]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Survey dataset of women perception on caesarean section]]></article-title>
<source><![CDATA[Data in Brief]]></source>
<year>2021</year>
<numero>35</numero>
<edition>e106501</edition>
<issue>35</issue>
</nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Xiang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Liang]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Fang]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Hu]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Mu]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Hedblom]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Qiu]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Gao]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The comparisons of on-site and off-site applications in surveys on perception of and preference for urban green spaces: Which approach is more reliable?]]></article-title>
<source><![CDATA[Urban Forestry &amp; Urban Greening]]></source>
<year>2021</year>
<numero>58</numero>
<edition>e126961</edition>
<issue>58</issue>
</nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Xue]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Zeng]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Guo]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
</person-group>
<source><![CDATA[Research on multimodal affective computing oriented to online collaborative learning. En Proceedings IEEE 19th International Conference on Advanced Learning Technologies]]></source>
<year>2019</year>
<page-range>137-9</page-range></nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zheng]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[She]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Shu]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Xiahou]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[BabeBay-A companion robot for children based on multimodal affective computing. En 14th ACM/IEEE International Conference on Human-Robot Interaction]]></source>
<year>2019</year>
<page-range>604-5</page-range></nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zucco]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Calabrese]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Cannataro]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Sentiment analysis and affective computing for depression monitoring. En IEEE International Conference on Bioinformatics and Biomedicine]]></source>
<year>2017</year>
<page-range>1988-95</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
