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• W2785676972 startingPage "153" @default.
• W2785676972 abstract "Most work in NLP analysing microblogs focuses on textual content thus neglecting temporal and spatial information. We present a new interdisciplinary method for emotion classification that combines linguistic, temporal, and spatial information into a single metric. We create a graph of labeled and unlabeled tweets that encodes the relations between neighboring tweets with respect to their emotion labels. Graph-based semi-supervised learning labels all tweets with an emotion." @default.
• W2785676972 created "2018-02-23" @default.
• W2785676972 creator A5020347604 @default.
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• W2785676972 date "2016-12-01" @default.
• W2785676972 modified "2023-09-28" @default.
• W2785676972 title "Microblog Emotion Classification by Computing Similarity in Text, Time, and Space" @default.
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• W2785676972 hasPublicationYear "2016" @default.
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