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An {E}valuation of {D}isentangled {R}epresentation {L}earning for {T}exts ...
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Text-based inference of moral sentiment change ...
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Abstract:
We present a text-based framework for investigating moral sentiment change of the public via longitudinal corpora. Our framework is based on the premise that language use can inform people's moral perception toward right or wrong, and we build our methodology by exploring moral biases learned from diachronic word embeddings. We demonstrate how a parameter-free model supports inference of historical shifts in moral sentiment toward concepts such as slavery and democracy over centuries at three incremental levels: moral relevance, moral polarity, and fine-grained moral dimensions. We apply this methodology to visualizing moral time courses of individual concepts and analyzing the relations between psycholinguistic variables and rates of moral sentiment change at scale. Our work offers opportunities for applying natural language processing toward characterizing moral sentiment change in society. ... : In Proceedings of EMNLP 2019 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2001.07209 https://dx.doi.org/10.48550/arxiv.2001.07209
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Computational Analysis of Arguments and Persuasive Strategies in Political Discourse
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Linguistic fundamentals for natural language processing II: 100 essentials from semantics and pragmatics
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Cross-Lingual Sentiment Analysis Without (Good) Translation ...
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Exploiting Linguistic Knowledge in Lexical and Compositional Semantic Models
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Automatic Text and Speech Processing for the Detection of Dementia
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Natural Language Argumentation: Mining, Processing, and Reasoning over Textual Arguments (Dagstuhl Seminar 16161)
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RST-style Discourse Parsing and Its Applications in Discourse Analysis
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Automated classification of primary progressive aphasia subtypes from narrative speech transcripts ; Automated classification of primary progressive aphasia subtypes from narrative speech samples
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