875 resultados para Reading as a social event
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This paper elaborates the approach used by the Applied Data Mining Research Group (ADMRG) for the Social Event Detection (SED) Tasks of the 2013 MediaEval Benchmark. We extended the constrained clustering algorithm to apply to the first semi-supervised clustering task, and we compared several classifiers with Latent Dirichlet Allocation as feature selector in the second event classification task. The proposed approach focuses on scalability and efficient memory allocation when applied to a high dimensional data with large clusters. Results of the first task show the effectiveness of the proposed method. Results from task 2 indicate that attention on the imbalance categories distributions is needed.
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In this paper, we provide an overview of the Social Event Detection (SED) task that is part of the MediaEval Bench mark for Multimedia Evaluation 2013. This task requires participants to discover social events and organize the re- lated media items in event-specific clusters within a collection of Web multimedia. Social events are events that are planned by people, attended by people and for which the social multimedia are also captured by people. We describe the challenges, datasets, and the evaluation methodology.
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With the growing size and variety of social media files on the web, it’s becoming critical to efficiently organize them into clusters for further processing. This paper presents a novel scalable constrained document clustering method that harnesses the power of search engines capable of dealing with large text data. Instead of calculating distance between the documents and all of the clusters’ centroids, a neighborhood of best cluster candidates is chosen using a document ranking scheme. To make the method faster and less memory dependable, the in-memory and in-database processing are combined in a semi-incremental manner. This method has been extensively tested in the social event detection application. Empirical analysis shows that the proposed method is efficient both in computation and memory usage while producing notable accuracy.
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The problem of clustering a large document collection is not only challenged by the number of documents and the number of dimensions, but it is also affected by the number and sizes of the clusters. Traditional clustering methods fail to scale when they need to generate a large number of clusters. Furthermore, when the clusters size in the solution is heterogeneous, i.e. some of the clusters are large in size, the similarity measures tend to degrade. A ranking based clustering method is proposed to deal with these issues in the context of the Social Event Detection task. Ranking scores are used to select a small number of most relevant clusters in order to compare and place a document. Additionally,instead of conventional cluster centroids, cluster patches are proposed to represent clusters, that are hubs-like set of documents. Text, temporal, spatial and visual content information collected from the social event images is utilized in calculating similarity. Results show that these strategies allow us to have a balance between performance and accuracy of the clustering solution gained by the clustering method.
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This paper outlines the approach taken by the Speech, Audio, Image and Video Technologies laboratory, and the Applied Data Mining Research Group (SAIVT-ADMRG) in the 2014 MediaEval Social Event Detection (SED) task. We participated in the event based clustering subtask (subtask 1), and focused on investigating the incorporation of image features as another source of data to aid clustering. In particular, we developed a descriptor based around the use of super-pixel segmentation, that allows a low dimensional feature that incorporates both colour and texture information to be extracted and used within the popular bag-of-visual-words (BoVW) approach.
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This black and white photograph shows a large group of men lining up for dessert at a New York Trade School social event.
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A speaker is pictured along with other important guests on the dais at a New York Trade School social event. Black and white photograph.
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This photograph features a table of guests at a New York Trade School social event. Photograph is black and white.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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This paper seeks to document and understand one instance of community-university engagement: that of an on-going book club organised in conjunction with public art exhibitions. The curator of the Queensland University of Technology (QUT) Art Museum invited the authors, three postgraduate research students in the faculty of Creative Writing and Literary Studies at QUT, to facilitate an informal book club. The purpose of the book club was to generate discussion, through engagement with fiction, around the themes and ideas explored in the Art Museum’s exhibitions. For example, during the William Robinson exhibition, which presented evocative images of the environment around Brisbane, Queensland, the book club explored texts that symbolically represented aspects of the Australian landscape in a variety of modes and guises. This paper emerges as a result of the authors’ observations during, and reflections on, their experiences facilitating the book club. It responds to the research question, how can we create a best practice model to engage readers through open-ended, reciprocal discussion of fiction, while at the same time encouraging interactions in the gallery space? To provide an overview of reading practices in book clubs, we rely on Jenny Hartley’s seminal text on the subject, The Reading Groups Book (2002). Although the book club was open to all members of the community, the participants were generally women. Elizabeth Long, in Book Clubs: Woman and the Uses of Reading in the Everyday (2003), offers a comprehensive account of women’s interactions as they engage in a reading community. Long (2003, 2) observes that an image of the solitary reader governs our understanding of reading. Long challenges this notion, arguing that reading is profoundly social (ibid), and, as women read and talk in book clubs, ‘they are supporting each other in a collective working-out of their relationship to a particular historical movement and the particular social conditions that characterise it’ (Long 2003, 22). Despite the book club’s capacity to act as a forum for analytical discussion, DeNel Rehberg Sedo (2010, 2) argues that there are barriers to interaction in such a space, including that members require a level of cultural capital and literacy before they feel comfortable to participate. How then can we seek to make book clubs more inclusive, and encourage readers to discuss and question outside of their comfort zone? How can we support interactions with texts and images? In this paper, we draw on pragmatic and self-reflective practice methods to document and evaluate the development of the book club model designed to facilitate engagement. We discuss how we selected texts, negotiating the dual needs of relevance to the exhibition and engagement with, and appeal to, the community. We reflect on developing questions and material prior to the book club to encourage interaction, and describe how we developed a flexible approach to question-asking and facilitating discussion. We conclude by reflecting on the outcomes of and improvements to the model.
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Laughter and humor are pervasive phenomena in conversa- tional interactions. This paper argues that they function as displays of mind-reading abilities in social interactions–as suggested by the Analogi- cal Peacock Hypothesis (APH). In this view, they are both social bonding signals and can elevate one’s social status. The relational combination of concepts in humor is addressed. However, it is in the inclusion of context and receiver knowledge, required by the APH view, that it contributes the most to existing theories. Taboo and offensive humor are addressed in terms of costly signaling, and implications for human computer inter- action and some possible routes to solutions are suggested.
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A política de indexação deve ser constituída de estratégias que permitam o alcance dos objetivos de recuperação do sistema de informação. O indexador tem a função primordial de compreender o documento ao realizar uma análise conceitual que represente adequadamente seu conteúdo. Utilizando a leitura como evento social/protocolo verbal em grupo, nosso objetivo é contribuir com a literatura sobre política de indexação e apresentar propostas de ensino de política de indexação direcionadas a alunos de graduação e pós-graduação, além de uma experiência de educação à distância com vistas à formação do bibliotecário em serviço. Os resultados obtidos demonstraram que a metodologia pode ser utilizada por sistemas de informação para que se tenha acesso ao conhecimento do indexador. Conclui que o indexador deve ser o alvo de investimento dos sistemas de informação e sugere aos sistemas de informação que a experiência do indexador também seja utilizada como parâmetro para política de indexação.
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This research aimed at studying the social role of reading, its importance in building knowledge and training of readers, as well as reflect on the teaching of reading in schools, with children in the literacy process. For their achievement, were used as theoretical support authors who are dedicated to the study of language, thematic reading, and phenomena that occur through it in the school environment, especially those of Bakhtin, Kleiman, Chartier, Foucambert, among others . The research was carried out using the approach of qualitative research, using participatory action research, through which the researcher could have direct contact with the observed phenomena, to participate and collect the participants' actions in its natural context, the from their perspective and their views. As for collecting and analyzing data, we used the tools of questionnaire, interview and participant observation. Its subjects a literacy class and their respective teacher, in 2009. By analyzing this information, one can draw a picture of reading in the school environment and teaching practices that surround this object. The results of the literature survey and data analysis suggest that reading is a social practice, and as such has indispensable social function in society today. And the school, one of the greatest instruments of contact with the world of letters, therefore, of reading for children means not literate, have key role in developing and training of readers who are aware of the importance of reading and perpetuate this practice in their daily lives. Similarly, subjects of research, have achieved an advanced level of literacy and understand the social role of reading and its importance to live in society, in which they belong
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In this video, white words and phrases fade quickly in and out amongst small bursting dots of colour. Set to an energetic, synthesised soundtrack, the animated text combines, and sometimes confuses, an internal monologue with dialogue and overheard conversations. The unfolding narrative follows an unnamed narrator through a crowded social event. By visually and textually mixing self-conscious reflections with polite conversations, “Mingling” explores the social niceties and nervous behaviours that often inform our interpersonal experiences. Through its fast-paced and disjointed rendering of verbal communication, the work playfully draws out the sometimes-awkward and uncomfortable dialogues that exist between personal and social, internal and external, imagined and actual. This work was commission by the Museum of Contemporary Art, Australia (Sydney), to celebrate the organisation’s major redevelopment and acknowledge the generosity of individuals and organisations who supported the capital project.
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This report describes the available functionality and use of the ClusterEval evaluation software. It implements novel and standard measures for the evaluation of cluster quality. This software has been used at the INEX XML Mining track and in the MediaEval Social Event Detection task.