Volume 40 Issue 5
Jul.  2024
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LI Xuening, HU Ziwei. Research on the Grammatical Negation System in English Sentiment Analysis: The Cardiff Grammar Perspective[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2024, 40(5): 74-82. doi: 10.19979/j.cnki.issn10082689.2023100061
Citation: LI Xuening, HU Ziwei. Research on the Grammatical Negation System in English Sentiment Analysis: The Cardiff Grammar Perspective[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2024, 40(5): 74-82. doi: 10.19979/j.cnki.issn10082689.2023100061

Research on the Grammatical Negation System in English Sentiment Analysis: The Cardiff Grammar Perspective

doi: 10.19979/j.cnki.issn10082689.2023100061
  • Received Date: 2023-10-22
  • Publish Date: 2024-07-08
  • The study, grounded in the Cardiff Grammar within Systemic Functional Linguistics, harnesses the SST film review corpus to facilitate investigation. It delves into the collocation patterns of the grammatical negation system “not” alongside sentiment words within sentiment analysis. Results show that grammatical negation chiefly manifests as mood negation, wherein the subject often assumes the role of the evaluated object, carrying the attribute relationship in action processes, mental processes, and relational processes. The negation word “not” exhibits the highest frequency of collocation with purely emotional and emotional reactive words, while demonstrating the lowest frequency with emotionally charged words associated with difficulty and importance. Furthermore, the negation effect of the sentiment words varies depending on the semantic connotations. In the case of purely emotional and emotional reactive words, the negation word attenuates the intensity of the original word when polarity is altered. Conversely no such weakening effect transpires with behavioral judgment and social judgment words. Sentiment words with negative polarity remain negative polarity by the negation word. This study proves enlightening in unraveling the intricate phenomenon of negation words within sentiment analysis. By annotating the semantic levels of sentiment words, the accuracy of common negation expressions encompassing this category of vocabulary is enhanced.

     

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