Sentiment Analysis using the Relationship between Users and Products (2023.findings-acl)
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| Challenge: | Existing studies focus on modelling user and product aspects without considering the relationship between users and products. |
| Approach: | They propose a model that incorporates the relationship between users and products into the model. |
| Outcome: | The proposed model improves on three well-known benchmarks for sentiment classification with the user and product information. |
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| Challenge: | a new language-independent model for sentiment analysis is proposed for social media . a sentiment dictionary cannot list all the possible ways people can express their opinions . |
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Devamanyu Hazarika, Soujanya Poria, Prateek Vij, Gangeshwar Krishnamurthy, Erik Cambria, Roger Zimmermann
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| Challenge: | Existing studies only leverage dependency relations without considering their dependency types . a valid and effective approach is demonstrated on six English benchmark datasets . |
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| Challenge: | Existing methods for aspect-based sentiment analysis (ABSA) consider relationships implicitly among subtasks at the word level. |
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