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Integrating Lexical Information into Entity Neighbourhood Representations for Relation Prediction ...
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Mention Flags (MF): Constraining Transformer-based Text Generators ...
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The colloquial WordNet: Extending Princeton WordNet with neologisms
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NUIG at EmoInt-2017: BiLSTM and SVR ensemble to detect emotion intensity
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Multimodal Emotion Recognition for AVEC 2016 Challenge
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In: Audio/Visual Emotion Challenge ; https://hal.archives-ouvertes.fr/hal-01837203 ; Audio/Visual Emotion Challenge, ACM, Oct 2016, Amsterdam, Netherlands (2016)
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Using topic models to measure social psychological characteristics in online social media
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In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2016)
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Using topic models to measure social psychological characteristics in online social media
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In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2016)
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Abstract:
Despite a growing body of research into computational models of social psychological processes, direct empirical grounding for these models remains an elusive goal. This is largely due to the difficulty of measuring modelled characteristics of social groups. This paper presents a methodology combining supervised topic models with traditional psycho-linguistic research as a first step towards such a goal. The method is applied to a collection of over a million tweets from the Twitter ‘pro-anorexia’ community.
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URL: https://doi.org/10.1007/978-3-319-16268-3_35 http://hdl.handle.net/1885/103168
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Mining for the meanings of a murder : the impact of OCR quality on the use of digitized historical newspapers
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