Zobrazeno 1 - 10
of 1 662
pro vyhledávání: '"Aspect-based sentiment analysis"'
Publikováno v:
Journal of Business & Industrial Marketing, 2024, Vol. 39, Issue 12, pp. 2684-2698.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JBIM-01-2024-0007
Autor:
Naramula, Venkatesh, A., Kalaivania
Publikováno v:
International Journal of Pervasive Computing and Communications, 2021, Vol. 20, Issue 4, pp. 1-20.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJPCC-06-2021-0143
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 593-602 (2024)
The paper describes experiments on using the syntactic structure to improve the performance of sentiment detection towards an explicit aspect in Russian sentences. Three methods of syntactic structure usage were evaluated. The first is augmenting sen
Externí odkaz:
https://doaj.org/article/6f756b7f61f44c3ab546b83f6159fec2
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Aspect-based sentiment analysis (ABSA) is a challenging task due to the presence of multiple aspect words with different sentiment polarities in a sentence. Recently, pre-trained language models like BERT have been widely used as context enc
Externí odkaz:
https://doaj.org/article/5d074dce7029422697431680bcd46843
Publikováno v:
Data Technologies and Applications, 2023, Vol. 58, Issue 3, pp. 447-471.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-10-2022-0408
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7907-7926 (2024)
Abstract Aspect-level sentiment analysis plays a pivotal role in fine-grained sentiment categorization, especially given the rapid expansion of online information. Traditional methods often struggle with accurately determining sentiment polarity when
Externí odkaz:
https://doaj.org/article/593d15ce0dd847e690dd64e09f5de68a
Autor:
Kamran Aziz, Naveed Ahmed, Hassan Jalil Hadi, Aizihaierjiang Yusufu, Mohammaed Ali Alshara, Yasir Javed, Donghong Ji
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 9, Pp 102221- (2024)
Urdu, with its rich linguistic complexity, poses significant challenges for computational sentiment analysis. This study presents an enhanced version of UrduAspectNet, specifically designed for Aspect-Based Sentiment Analysis (ABSA) in Urdu. We intro
Externí odkaz:
https://doaj.org/article/bf7bc25d29b842db99458cd74a67cc3e
Autor:
Evy Rachmawati Chaldun, Gatot Yudoko, Salfitrie Roos Maryunani, Falah Fadjariansyah Kusuma Kautsar, Carissa Tibia Walidayni
Publikováno v:
Cogent Business & Management, Vol 11, Iss 1 (2024)
International trade is increasingly facilitated by e-commerce platforms, fostering user-generated content through customer reviews, which can be analysed using sentiment analysis to uncover the customer experience. This study applies aspect-based sen
Externí odkaz:
https://doaj.org/article/bcb2acda8e364f008557e3701dd9a39a
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 111107- (2024)
Sentiment analysis is becoming rapidly important for exploring social media Bangla text. The lack of sufficient resources is considered to be an important challenge for Aspect Based Sentiment Analysis (ABSA) of the Bangla language. The ABSA is a tech
Externí odkaz:
https://doaj.org/article/7d86232dc00649158d1416195331495b
Autor:
Aseel Alhadlaq, Alaa Altheneyan
Publikováno v:
PeerJ Computer Science, Vol 10, p e2267 (2024)
In the field of natural language processing (NLP), aspect-based sentiment analysis (ABSA) is crucial for extracting insights from complex human sentiments towards specific text aspects. Despite significant progress, the field still faces challenges s
Externí odkaz:
https://doaj.org/article/1463fccbc8564172a338cfe36abbd712