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Zhu L, Xu M, Zhu Z, Xu Y, Kong X. Multiscale feature aggregation network for aspect sentiment triplet extraction. APPL INTELL 2023. [DOI: 10.1007/s10489-022-04402-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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Zhao Z, Tang M, Zhao F, Zhang Z, Chen X. Incorporating semantics, syntax and knowledge for aspect based sentiment analysis. APPL INTELL 2022. [DOI: 10.1007/s10489-022-04307-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
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3
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Bi-graph attention network for aspect category sentiment classification. Knowl Based Syst 2022. [DOI: 10.1016/j.knosys.2022.109972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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4
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A knowledge-enhanced interactive graph convolutional network for aspect-based sentiment analysis. J Intell Inf Syst 2022. [DOI: 10.1007/s10844-022-00761-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Lu Q, Sun X, Sutcliffe R, Xing Y, Zhang H. Sentiment interaction and multi-graph perception with graph convolutional networks for aspect-based sentiment analysis. Knowl Based Syst 2022. [DOI: 10.1016/j.knosys.2022.109840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Shukla D, Chandra G, Pandey B, Dwivedi SK. A comprehensive survey on sentiment analysis: Challenges and future insights. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2022. [DOI: 10.3233/jifs-213372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
With the rise of social networks, people now express their sentiments more frequently and comfortably through their social media activities on different events, person, and every little thing surrounding them. This generates a lot of unstructured data; billions of users post tweets every day as a daily regime on Twitter itself. This has given rise to many texts classification and analysis tasks, Sentiment Analysis (SA) being one of them. Through SA, it is conferred whether the users have negative or positive orientations in their opinions; the results of this task are significantly useful for decision-makers in various fields. This paper presents various facets of SA, like the process followed in SA, levels, approaches, and sentences considered in SA. Aspects such as growth, techniques, the share of various platforms, and SA pipeline are also covered in this paper. At last, we have highlighted some major challenges in order to define future directions.
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Affiliation(s)
- Diksha Shukla
- Department of Computer Science, BBAU (A Central University), Lucknow
| | - Ganesh Chandra
- Department of Computer Science, BBAU (A Central University), Lucknow
| | - Babita Pandey
- Department of Computer Science, BBAU (A Central University), Lucknow
| | - Sanjay K. Dwivedi
- Department of Computer Science, BBAU (A Central University), Lucknow
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Zhao Z, Tang M, Tang W, Wang C, Chen X. Graph convolutional network with multiple weight mechanisms for aspect-based sentiment analysis. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.05.045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Chen J, Zhang H, Zhang H, Ma A, Su Y, Li W. An image denoising method of picking robot vision based on feature pyramid network. J FOOD PROCESS ENG 2022. [DOI: 10.1111/jfpe.14117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Jiqing Chen
- College of Mechatronic Engineering Guangxi University Nanning People's Republic of China
- Guangxi Manufacturing System and Advanced Manufacturing Technology Key Laboratory Nanning People's Republic of China
| | - Hongdu Zhang
- College of Mechatronic Engineering Guangxi University Nanning People's Republic of China
| | - Haiyan Zhang
- College of Mechatronic Engineering Guangxi University Nanning People's Republic of China
| | - Aoqiang Ma
- College of Mechatronic Engineering Guangxi University Nanning People's Republic of China
| | - Yousheng Su
- College of Mechatronic Engineering Guangxi University Nanning People's Republic of China
| | - Wenqu Li
- College of Mechatronic Engineering Guangxi University Nanning People's Republic of China
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Li X, Cheng K, Huang T, Tan S. Research on false alarm detection algorithm of nuclear power system based on BERT-SAE-iForest combined algorithm. ANN NUCL ENERGY 2022. [DOI: 10.1016/j.anucene.2022.108985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Huang B, Guo R, Zhu Y, Fang Z, Zeng G, Liu J, Wang Y, Fujita H, Shi Z. Aspect-level sentiment analysis with aspect-specific context position information. Knowl Based Syst 2022. [DOI: 10.1016/j.knosys.2022.108473] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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