Designing Human-Centered Collective Intelligence

Human-Centered Collective Intelligence (HCCI) is an emergent research area that seeks to bring together major research areas like machine learning, statistical modeling, information retrieval, market research, and software engineering to address challenges pertaining to deriving intelligent insights and solutions through the collaboration of several intelligent sensors, devices and data sources. An archetypal contextual CI scenario might be concerned with deriving affect-driven intelligence through multimodal emotion detection sources in a bid to determine the likability of one movie trailer over another. On the other hand, the key tenets to designing robust and evolutionary software and infrastructure architecture models to address cross-cutting quality concerns is of keen interest in the “Cloud” age of today. Some of the key quality concerns of interest in CI scenarios span the gamut of security and privacy, scalability, performance, fault-tolerance, and reliability. I present recent advances in CI system design with a focus on highlighting optimal solutions for the aforementioned cross-cutting concerns. I also describe a number of design challenges and a framework that I have determined to be critical to designing CI systems. With inspiration from machine learning, computational advertising, ubiquitous computing, and sociable robotics, this literature incorporates theories and concepts from various viewpoints to empower the collective intelligence engine, ZOEI, to discover affective state and emotional intent across multiple mediums. The discerned affective state is used in recommender systems among others to support content personalization. I dive into the design of optimal architectures that allow humans and intelligent systems to work collectively to solve complex problems. I present an evaluation of various studies that leverage the ZOEI framework to design collective intelligence

Clustering Arabic Tweets for Sentiment Analysis

The focus of this study is to evaluate the impact of linguistic preprocessing and similarity functions for clustering Arabic Twitter tweets. The experiments apply an optimized version of the standard K-Means algorithm to assign tweets into positive and negative categories. The results show that root-based stemming has a significant advantage over light stemming in all settings. The Averaged Kullback-Leibler Divergence similarity function clearly outperforms the Cosine, Pearson Correlation, Jaccard Coefficient and Euclidean functions. The combination of the Averaged Kullback-Leibler Divergence and root-based stemming achieved the highest purity of 0.764 while the second-best purity was 0.719. These results are of importance as it is contrary to normal-sized documents where, in many information retrieval applications, light stemming performs better than root-based stemming and the Cosine function is commonly used

Libro de aplicaciones y usabilidad de la televisión digital interactiva : VIII Conferencia Iberoamericana de Aplicaciones t Usabilidad de la TV Interactiva (jAUTI 2019)

Las jAUTI2019 VIII Jornadas Iberoamericanas sobre Aplicaciones y Usabilidad de la Televisión Digital Interactiva, se realizaron durante WebMedia 2019 XXV Simpósio Brasilero de Sistemas Multimedia y Web , del 29 de Octubre al 1 de Noviembre en Río de Janeiro (Brasil). jAUTI2019 es la octava edición de un evento científico organizado anualmente por la RedAUTI Red Temática de Aplicaciones y Usabilidad de la Televisión Digital Interactiva, formada por más de 250 investigadores pertenecientes a 32 universidades de España, Portugal y once países latinoamericanos (Argentina, Brasil, Colombia, Costa Rica, Cuba, Chile, Ecuador, Guatemala, Perú, Uruguay, Venezuela). Este libro reúne los trabajos aceptados en el evento el cual tiene como objetivo presentar los esfuerzos de investigación de la academia, la industria o las agencias gubernamentales en el diseño, desarrollo y usabilidad de aplicaciones para la Televisión Digital Interactiva (TVDi) y tecnologías relacionadas.A jAUTI 2019 - VIII Conferência Ibero-Americana de Aplicações e Usabilidade da Televisão Digital Interativa, foi realizada durante o WebMedia 2019 - XXV Simpósio Brasileiro de Multimídia e Sistemas Web, de 29 de outubro à 1 de novembro no Rio de Janeiro (Brasil). O jAUTI 2019 é a oitava edição de um evento científico organizado anualmente pela Rede Temática de Aplicações e Usabilidade da Televisão Digital Interativa (RedAUTI), formada por mais de 250 pesquisadores de 32 universidades de Espanha, Portugal e onze países da América Latina (Argentina, Brasil, Colômbia, Costa Rica, Cuba, Chile, Equador, Guatemala, Peru, Uruguai, Venezuela). Este livro reúne os trabalhos aceitos no evento, que visa apresentar os esforços de pesquisa da academia, da indústria ou de agências governamentais no projeto, desenvolvimento e usabilidade de aplicativos para Televisão Digital Interativa (TVDi) e tecnologias relacionadas.The jAUTI 2019 VIII Ibero-American Conference on Applications and Usability of Interactive Digital Television, were held during WebMedia 2019 XXV Brazilian Symposium on Multimedia and Web Systems, from October 29 to November 1 in Rio de Janeiro (Brazil). jAUTI 2019 is the eighth edition of a scientific event organized annually by the RedAUTI Thematic Network of Applications and Usability of Interactive Digital Television, formed by more than 250 researchers from 32 universities in Spain, Portugal and eleven Latin American countries (Argentina, Brazil, Colombia, Costa Rica, Cuba, Chile, Ecuador, Guatemala, Peru, Uruguay, Venezuela). This book gathers the works accepted in the event which aims to present the research efforts of the academy, industry or government agencies in the design, development and usability of applications for Interactive Digital Television (TVDi) and related technologies.RedAUT

Libro de aplicaciones y usabilidad de la televisión digital interactiva : VIII Conferencia Iberoamericana de Aplicaciones t Usabilidad de la TV Interactiva (jAUTI 2019)

Las jAUTI2019 VIII Jornadas Iberoamericanas sobre Aplicaciones y Usabilidad de la Televisión Digital Interactiva, se realizaron durante WebMedia 2019 XXV Simpósio Brasilero de Sistemas Multimedia y Web , del 29 de Octubre al 1 de Noviembre en Río de Janeiro (Brasil). jAUTI2019 es la octava edición de un evento científico organizado anualmente por la RedAUTI Red Temática de Aplicaciones y Usabilidad de la Televisión Digital Interactiva, formada por más de 250 investigadores pertenecientes a 32 universidades de España, Portugal y once países latinoamericanos (Argentina, Brasil, Colombia, Costa Rica, Cuba, Chile, Ecuador, Guatemala, Perú, Uruguay, Venezuela). Este libro reúne los trabajos aceptados en el evento el cual tiene como objetivo presentar los esfuerzos de investigación de la academia, la industria o las agencias gubernamentales en el diseño, desarrollo y usabilidad de aplicaciones para la Televisión Digital Interactiva (TVDi) y tecnologías relacionadas.A jAUTI 2019 - VIII Conferência Ibero-Americana de Aplicações e Usabilidade da Televisão Digital Interativa, foi realizada durante o WebMedia 2019 - XXV Simpósio Brasileiro de Multimídia e Sistemas Web, de 29 de outubro à 1 de novembro no Rio de Janeiro (Brasil). O jAUTI 2019 é a oitava edição de um evento científico organizado anualmente pela Rede Temática de Aplicações e Usabilidade da Televisão Digital Interativa (RedAUTI), formada por mais de 250 pesquisadores de 32 universidades de Espanha, Portugal e onze países da América Latina (Argentina, Brasil, Colômbia, Costa Rica, Cuba, Chile, Equador, Guatemala, Peru, Uruguai, Venezuela). Este livro reúne os trabalhos aceitos no evento, que visa apresentar os esforços de pesquisa da academia, da indústria ou de agências governamentais no projeto, desenvolvimento e usabilidade de aplicativos para Televisão Digital Interativa (TVDi) e tecnologias relacionadas.The jAUTI 2019 VIII Ibero-American Conference on Applications and Usability of Interactive Digital Television, were held during WebMedia 2019 XXV Brazilian Symposium on Multimedia and Web Systems, from October 29 to November 1 in Rio de Janeiro (Brazil). jAUTI 2019 is the eighth edition of a scientific event organized annually by the RedAUTI Thematic Network of Applications and Usability of Interactive Digital Television, formed by more than 250 researchers from 32 universities in Spain, Portugal and eleven Latin American countries (Argentina, Brazil, Colombia, Costa Rica, Cuba, Chile, Ecuador, Guatemala, Peru, Uruguay, Venezuela). This book gathers the works accepted in the event which aims to present the research efforts of the academy, industry or government agencies in the design, development and usability of applications for Interactive Digital Television (TVDi) and related technologies.RedAUT

Libro de aplicaciones y usabilidad de la televisión digital interactiva : VIII Conferencia Iberoamericana de Aplicaciones t Usabilidad de la TV Interactiva (jAUTI 2019)

Las jAUTI2019 VIII Jornadas Iberoamericanas sobre Aplicaciones y Usabilidad de la Televisión Digital Interactiva, se realizaron durante WebMedia 2019 XXV Simpósio Brasilero de Sistemas Multimedia y Web , del 29 de Octubre al 1 de Noviembre en Río de Janeiro (Brasil). jAUTI2019 es la octava edición de un evento científico organizado anualmente por la RedAUTI Red Temática de Aplicaciones y Usabilidad de la Televisión Digital Interactiva, formada por más de 250 investigadores pertenecientes a 32 universidades de España, Portugal y once países latinoamericanos (Argentina, Brasil, Colombia, Costa Rica, Cuba, Chile, Ecuador, Guatemala, Perú, Uruguay, Venezuela). Este libro reúne los trabajos aceptados en el evento el cual tiene como objetivo presentar los esfuerzos de investigación de la academia, la industria o las agencias gubernamentales en el diseño, desarrollo y usabilidad de aplicaciones para la Televisión Digital Interactiva (TVDi) y tecnologías relacionadas.A jAUTI 2019 - VIII Conferência Ibero-Americana de Aplicações e Usabilidade da Televisão Digital Interativa, foi realizada durante o WebMedia 2019 - XXV Simpósio Brasileiro de Multimídia e Sistemas Web, de 29 de outubro à 1 de novembro no Rio de Janeiro (Brasil). O jAUTI 2019 é a oitava edição de um evento científico organizado anualmente pela Rede Temática de Aplicações e Usabilidade da Televisão Digital Interativa (RedAUTI), formada por mais de 250 pesquisadores de 32 universidades de Espanha, Portugal e onze países da América Latina (Argentina, Brasil, Colômbia, Costa Rica, Cuba, Chile, Equador, Guatemala, Peru, Uruguai, Venezuela). Este livro reúne os trabalhos aceitos no evento, que visa apresentar os esforços de pesquisa da academia, da indústria ou de agências governamentais no projeto, desenvolvimento e usabilidade de aplicativos para Televisão Digital Interativa (TVDi) e tecnologias relacionadas.The jAUTI 2019 VIII Ibero-American Conference on Applications and Usability of Interactive Digital Television, were held during WebMedia 2019 XXV Brazilian Symposium on Multimedia and Web Systems, from October 29 to November 1 in Rio de Janeiro (Brazil). jAUTI 2019 is the eighth edition of a scientific event organized annually by the RedAUTI Thematic Network of Applications and Usability of Interactive Digital Television, formed by more than 250 researchers from 32 universities in Spain, Portugal and eleven Latin American countries (Argentina, Brazil, Colombia, Costa Rica, Cuba, Chile, Ecuador, Guatemala, Peru, Uruguay, Venezuela). This book gathers the works accepted in the event which aims to present the research efforts of the academy, industry or government agencies in the design, development and usability of applications for Interactive Digital Television (TVDi) and related technologies.RedAUT

Clustering Arabic Tweets for Sentiment Analysis

The focus of this study is to evaluate the impact of linguistic preprocessing and similarity functions for clustering Arabic Twitter tweets. The experiments apply an optimized version of the standard K-Means algorithm to assign tweets into positive and negative categories. The results show that root-based stemming has a significant advantage over light stemming in all settings. The Averaged Kullback-Leibler Divergence similarity function clearly outperforms the Cosine, Pearson Correlation, Jaccard Coefficient and Euclidean functions. The combination of the Averaged Kullback-Leibler Divergence and root-based stemming achieved the highest purity of 0.764 while the second-best purity was 0.719. These results are of importance as it is contrary to normal-sized documents where, in many information retrieval applications, light stemming performs better than root-based stemming and the Cosine function is commonly used