Evidence map›Paper›PMID 37688761›Full record

ArticleJournal of psycholinguistic research2023

Weighting Assessment of the Effect of Chinese State-Changing Words on Emotions.

Chia-Yueh Chang, Meng-Ning Tsai, Yao-Ting Sung, Shu-Ling Cho, Hsueh-Chih Chen

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Article in Journal of psycholinguistic research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chia-Yueh ChangDepartment of Educational Psychology and Counseling, National Taiwan Normal University, Education College Building, Room 612, No. 162, Sec. 1, Heping E. Rd., Da-an District, Taipei City, 10610, Taiwan, ROC.ORCID http://orcid.org/0000-0003-3023-7861
Meng-Ning TsaiDepartment of Educational Psychology and Counseling, National Taiwan Normal University, Education College Building, Room 612, No. 162, Sec. 1, Heping E. Rd., Da-an District, Taipei City, 10610, Taiwan, ROC.ORCID http://orcid.org/0000-0003-4648-8374
Yao-Ting SungDepartment of Educational Psychology and Counseling, National Taiwan Normal University, Education College Building, Room 612, No. 162, Sec. 1, Heping E. Rd., Da-an District, Taipei City, 10610, Taiwan, ROC.ORCID http://orcid.org/0000-0002-3538-3756
Shu-Ling ChoDepartment of Clinical Psychology, Fu-Jen Catholic University, Taipei, Taiwan, ROC.ORCID http://orcid.org/0000-0003-4242-7830
Hsueh-Chih ChenDepartment of Educational Psychology and Counseling, National Taiwan Normal University, Education College Building, Room 612, No. 162, Sec. 1, Heping E. Rd., Da-an District, Taipei City, 10610, Taiwan, ROC. chcjyh@gmail.com.ORCID http://orcid.org/0000-0003-2043-0190

Funding

Ministry of Science and Technology (MOST) of Taiwan MOST-111-2634-F-002-004
6 · The paper itself

Abstract

Past studies of sentiment analysis have mainly applied algorithms based on vocabulary categories and emotional characteristics to detect the emotionality of text. However, the collocation of state-changing words and emotional vocabulary affects emotions. For example, adverbs of degree strengthen emotions, and negative adverbs reverse emotions. This study investigated the weighted effect of state-changing words on emotion. The research material comprised 73 state-changing words that were collocated with four emotions: happiness, sadness, fear, and anger. A total of 84 participants participated in the vocabulary assessment. The results revealed that state-changing words could be classified into four types: intensifying, weakening, neutralizing, and reversing. In a comparison of the weighting factors among emotions, the weighting effect of the same state-changing word in the positive emotion category was particularly evident. The results could serve as a reference for follow-up studies on detecting emotions in text.

Indexed as

EmotionsHappinessAngerChinaFearHumansVocabularyEmotionLanguage intensityNegativity effectPollyanna principleState-changing word

Identifiers

PMID37688761

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.