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Soundscapes in English and Spanish: a corpus investigation of verb constructions ... : Soundscapes in English and Spanish: a corpus investigation of verb constructions ...
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Soundscapes in English and Spanish: a corpus investigation of verb constructions ... : Soundscapes in English and Spanish: a corpus investigation of verb constructions ...
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Annotating speaker stance in discourse:the Brexit Blog Corpus
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Visual Analysis of Sentiment and Stance in Social Media Texts ...
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Evaluating stance-annotated sentences from political blogs regarding the Brexit:a quantitative analysis
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Annotating speaker stance in discourse: the Brexit Blog Corpus (BBC) ... : Annotating speaker stance in discourse: the Brexit Blog Corpus (BBC) ...
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Stance Classification in Texts from Blogs on the 2016 British Referendum
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Identifying the Authors’ National Variety of English in Social Media Text
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Visual Analysis of Text Annotations for Stance Classification with ALVA ...
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Abstract:
The automatic detection and classification of stance taking in text data using natural language processing and machine learning methods create an opportunity to gain insight about the writers' feelings and attitudes towards their own and other people's utterances. However, this task presents multiple challenges related to the training data collection as well as the actual classifier training. In order to facilitate the process of training a stance classifier, we propose a visual analytics approach called ALVA for text data annotation and visualization. Our approach supports the annotation process management and supplies annotators with a clean user interface for labeling utterances with several stance categories. The analysts are provided with a visualization of stance annotations which facilitates the analysis of categories used by the annotators. ALVA is already being used by our domain experts in linguistics and computational linguistics in order to improve the understanding of stance phenomena and to ... : EuroVis 2016 - Posters ...
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Keyword:
General; Graphical user interfaces GUI; H.5.2 [Information Interfaces and Presentation e.g.; HCI]; I.2.7 [Artificial Intelligence]; Natural Language Processing; Text analysis
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URL: https://diglib.eg.org/handle/10.2312/eurp20161139 https://dx.doi.org/10.2312/eurp.20161139
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Visual analysis of online social media to open up the investigation of stance phenomena
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