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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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Abstract:
The problem of identifying and correctly attributing speaker stance in human communication is addressed in this paper. The data set consists of political blogs dealing with the 2016 British referendum. A cognitive-functional framework is adopted with data annotated for six notional stance categories: contrariety, hypotheticality, necessity, prediction, source of knowledge, and uncertainty. We show that these categories can be implemented in a text classification task and automatically detected. To this end, we propose a large set of lexical and syntactic linguistic features. These features were tested and classification experiments were implemented using different algorithms. We achieved accuracy of up to 30% for the six-class experiments, which is not fully satisfactory. As a second step, we calculated the pair-wise combinations of the stance categories. The contrariety and necessity binary classification achieved the best results with up to 71% accuracy.
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URL: https://doi.org/10.1007/978-3-319-66429-3_70 https://eprints.lancs.ac.uk/id/eprint/124810/
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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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Visual analysis of online social media to open up the investigation of stance phenomena
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