On Being Negative

Taboada, Maïté; Trnavac, Radoslava; Goddard, Cliff

doi:10.1007/s41701-017-0006-y

Cited by 16 publications

(6 citation statements)

References 30 publications

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“…(p. 183) In other words, the -ist and -ism terms are semantically-laden and serve as a function insulting/accusing of a group or an individual of 'superiority doctrine' which in turn lead to a rejection and conflict with the 'inferiors'. This argument of the negativity feature of the suffixes -ist and -ism is supported and discussed in Taboada et al (2017) 'On Being Negative'. Moreover, in the case of 'extremism' "it was the whole word, not the suffix alone, that had the negative connotation at this earlier stage" (Lehrer 1988, p. 182).…”

Section: Titlesmentioning

confidence: 83%

The Paratextual Analysis of English Translations of Arabic Media Narratives on Daesh

Hijjo

Kaur

2017

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Section: Titlesmentioning

confidence: 83%

The Paratextual Analysis of English Translations of Arabic Media Narratives on Daesh

Hijjo

Kaur

2017

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“…Potts (2011) shows a correlation between negation and negativity and characterizes negation as 'persistently negative.' See also Israel (2004) and Taboada, Trnavac & Goddard (2017). We examined, then, the relationship between syntactic negation and negative polarity in our annotations.…”

Section: Attitude and Negationmentioning

confidence: 99%

A corpus analysis of online news comments using the Appraisal framework

Cavasso

Taboada

2021

Journal of Corpora and Discourse Studies

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We present detailed analyses of the distribution of Appraisal categories (Martin & White, 2005) in a corpus of online news comments. The corpus consists of just over one thousand comments posted in response to a variety of opinion pieces on the website of the Canadian English-language newspaper The Globe and Mail. We annotated all the comments with labels corresponding to different categories of the Appraisal framework. Analyses of the annotations show that comments are overwhelmingly negative and that they favour two of the subtypes of Attitude, Judgement and Appreciation. The paper contributes a methodology for annotating Appraisal, examining the interaction of Appraisal with negation, the constructive nature of comments, and the level of toxicity found in them. The results show that highly opinionated language is expressed as opinion (Judgement and Appreciation) rather than as an emotional reaction (Affect). This finding, together with the interplay of evaluative language with constructiveness and toxicity in the comments, can be applied to the automatic moderation of online comments.

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“…Brooke et al (2009) mention that lexicon-based sentiment classifiers show a positive bias because humans tend to use positive language (see also Taboada et al (2017)). We also found this problem by examining the results of the classifier.…”

Section: Error Analysismentioning

confidence: 99%

Using lexical level information in discourse structures for Basque sentiment analysis

Alkorta¹,

Gojenola²,

Iruskieta³

et al. 2017

Proceedings of the 6th Workshop on Recent Advances in RST and Related Formalisms

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Systems for opinion and sentiment analysis rely on different resources: a lexicon, annotated corpora and constraints (morphological, syntactic or discursive), depending on the nature of the language or text type. In this respect, Basque is a language with fewer linguistic resources and tools than other languages, like English or Spanish. The aim of this work is to study whether some kinds of discourse structures based on nuclearity are sufficient to correctly assign positive and negative polarity with a lexicon-based approach for sentiment analysis. The evaluation is performed in two phases: i) Text extraction following some constraints on discourse structure from manually annotated trees. ii) Automatic annotation of semantic orientation (or polarity). Results show that the method is useful to detect all positive cases, but fails with the negative ones. An error analysis shows that negative cases have to be addressed in a different way. The immediate results of this work include an evaluation on how discourse structure can be exploited in Basque. In the future, we will also publish a manually created Basque dictionary to use in sentiment analysis tasks.

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On Being Negative

Cited by 16 publications

References 30 publications

The Paratextual Analysis of English Translations of Arabic Media Narratives on Daesh

The Paratextual Analysis of English Translations of Arabic Media Narratives on Daesh

A corpus analysis of online news comments using the Appraisal framework

Using lexical level information in discourse structures for Basque sentiment analysis

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