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Media Politicization of the United States Supreme Court
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In: Faculty Scholarship (2014)
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Информационная структура новостного текста в гендерном аспекте
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ПАРТВОРК «КУКЛЫ В НАРОДНЫХ КОСТЮМАХ»: КОММУНИКАТИВНЫЕ ОСОБЕННОСТИ, ЛИНГВИСТИЧЕСКАЯ ОСНОВА, ДИДАКТИЧЕСКИЙ ПОТЕНЦИАЛ
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Драчева, Юлия; Ильина, Елена. - : Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования "Томский государственный педагогический университет", 2014
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Code mixing: a challenge for language identification in the language of social media
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In: Barman, Utsab, Das, Amitava orcid:0000-0003-3418-463X , Wagner, Joachim orcid:0000-0002-8290-3849 and Foster, Jennifer orcid:0000-0002-7789-4853 (2014) Code mixing: a challenge for language identification in the language of social media. In: First Workshop on Computational Approaches to Code Switching, 25 Oct 2014, Doha, Qatar. (2014)
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TriVis: visualising multivariate data from sentiment analysis
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In: Doyle, Maryanne, Smeaton, Alan F. orcid:0000-0003-1028-8389 and Bermingham, Adam (2014) TriVis: visualising multivariate data from sentiment analysis. In: 8th Annual Irish Human Computer Interaction (iHCI) conference, 1-2 Sept 2014, DCU, Dublin, Ireland. (2014)
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Abstract:
In a time when a single sporting event can elicit millions of Tweets the volume of expressions of sentiment available is far too large to be read by an individual in real time. TriVis is a visualisation design that uses a modified scatter plot with three axes to allow the user to read and understand multidimensional data at a glance. We examined the readability of the visualisation using data collected from a golf tournament and plotted the sentiment towards golfers in real time during play. TriVis visualisations are simple, easy to understand and offer insights into obvious using other methods.
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Keyword:
Computational linguistics; Interactive computer systems; Sentiment analysis; Social media analysis; Sports; Visualization; World Wide Web
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URL: http://doras.dcu.ie/20145/
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