2023
DOI: 10.14569/ijacsa.2023.0141085
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Hybrid Syntax Dependency with Lexicon and Logistic Regression for Aspect-based Sentiment Analysis

Mohammad Mashrekul Kabir,
Zulaiha Ali Othman,
Mohd Ridzwan Yaakub
et al.

Abstract: Aspect-based Sentiment Analysis (ABSA) is a finegrained form of SA that greatly benefits customers and the real world. ABSA of customer reviews has become a trendy topic because of the profuse information that is shared through these reviews. While SA also known as opinion mining helps to find opinion, ABSA greatly impact business world by converting these reviews to finer form with aspects and opinion or sentiment. These review words are interwoven internally, which depends on the semantics besides syntax, an… Show more

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Cited by 2 publications
(3 citation statements)
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“…Therefore, they were allured to propose a hybrid method for aspect extraction by combining two or more methods or algorithms with cutting-edge solutions to overcome the limitations of each method. The hybrid methods have improved the aspect extraction performance of ABSA, either explicit or implicit aspect or both aspects extraction as well [7], [12], [18], [36]. The important hybrid literature are highlighted here.…”
Section: Related Workmentioning
confidence: 99%
See 2 more Smart Citations
“…Therefore, they were allured to propose a hybrid method for aspect extraction by combining two or more methods or algorithms with cutting-edge solutions to overcome the limitations of each method. The hybrid methods have improved the aspect extraction performance of ABSA, either explicit or implicit aspect or both aspects extraction as well [7], [12], [18], [36]. The important hybrid literature are highlighted here.…”
Section: Related Workmentioning
confidence: 99%
“…[40] used hybrid with Conditional Random Field and word embedding, but this embedding method suffers where semantics ambiguity or the dataset is limited. Mashrekul et al [18] used hybrid with syntax and dependency and lexicon for aspect extraction. The hybrid technique extracts common aspects by determining the Part of Speech (POS) tag for each word in each review line.…”
Section: Related Workmentioning
confidence: 99%
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