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*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish
Pages (from-to)2545-2566
Number of pages22
JournalJournal of Psycholinguistic Research
Issue number6
Publication statusPublished - 2023 Dec


  • Emotion
  • Language intensity
  • Negativity effect
  • Pollyanna principle
  • State-changing word

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Language and Linguistics
  • Linguistics and Language
  • General Psychology


Dive into the research topics of 'Weighting Assessment of the Effect of Chinese State-Changing Words on Emotions'. Together they form a unique fingerprint.

Cite this