Opinion Events: Types and opinion markers in English social media discourse

Q2 Arts and Humanities
Barbara Lewandowska-Tomaszczyk, Chaya Liebeskind, Anna Bączkowska, Jurate Ruzaite, Ardita Dylgjeri, Ledia Kazazi, Erika Lombart
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引用次数: 0

Abstract

Abstract The paper investigates various definitions of the concept of opinion as opposed to factual or evidence-based statements and proposes a taxonomy of opinions expressed in English as identified in selected social media. A discussion situates opinions in the realm of pragmatics and reaches to philosophy of language and cognitive science. The research methodology combines a thorough linguistic analysis of opinions, proposing their multifaceted taxonomy with the automatically generated lexical embeddings of positive and negative lexicon acquired from the analysed opinionated texts. As proposed, the definition of the concept of opinion is best apprehended when looked upon in terms of an opinion event, with a number of necessary conditions on the one hand, and those that are characteristic of an explicit opinion prototype on the other. Lists of opinion discourse markers show their preferential uses either in positive or negative opinionated texts; however, no sets of necessary and/or sufficient opinion markers properties have been acquired from the analysed texts. The conclusions indicate a polysemous understanding of naturally occurring social media opinionated texts and a definitional flexibility of the boundaries around lexical positive and negative types of opinion markers.
意见事件:英语社交媒体话语中的类型和观点标记
本文调查了意见概念的各种定义,而不是事实或基于证据的陈述,并提出了在选定的社交媒体中确定的英语表达意见的分类。讨论将观点置于语用学领域,并触及语言哲学和认知科学。该研究方法结合了对观点的全面语言分析,提出了观点的多方面分类,并从分析的固执己见文本中获得了积极和消极词汇的自动生成词汇嵌入。正如所建议的那样,当从一个意见事件的角度来看待时,意见概念的定义是最好的理解,一方面是一些必要的条件,另一方面是那些明确的意见原型的特征。观点话语标记的列表显示了它们在积极和消极固执文本中的优先使用;但是,从分析的文本中没有获得一套必要和/或充分的意见标记属性。这些结论表明了对自然发生的社交媒体意见文本的多义词理解,以及对词汇积极和消极类型意见标记边界的定义灵活性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Lodz Papers in Pragmatics
Lodz Papers in Pragmatics Arts and Humanities-Language and Linguistics
CiteScore
1.10
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0.00%
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