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However, analyzing the grammatical connection between aspect words and other words within a review sentence using morphological features like part of speech can be exceedingly complex. This paper proposes the concept of sentiment-supporting words, dividing sentences into aspectual words, sentiment-supporting words and non-sentiment-supporting words, which simplifies the core task of sentiment analysis. Three rules are designed for determining the \u201csentiment-support words\u201d of the text in different aspects. Subsequently, the application of sentiment-support words in sentiment analysis models is given, and five classical sentiment analysis models are improved accordingly. According to the experimental outcomes on two publicly available datasets, the \u201csentiment-support words\u201d and corresponding sentiment support rules proposed in this paper are capable of significantly enhancing aspect-based sentiment analysis. <\/jats:p>","DOI":"10.1142\/s0218001423570045","type":"journal-article","created":{"date-parts":[[2023,3,17]],"date-time":"2023-03-17T06:47:02Z","timestamp":1679035622000},"source":"Crossref","is-referenced-by-count":8,"title":["A Study on the Application of Sentiment-Support Words on Aspect-Based Sentiment Analysis"],"prefix":"10.1142","volume":"37","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5654-7748","authenticated-orcid":false,"given":"Lei","family":"Jiang","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan 411201, P. R. 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