Zobrazeno 1 - 10
of 418
pro vyhledávání: '"emotional analysis"'
Publikováno v:
Earthquake Science, Vol 37, Iss 5, Pp 387-406 (2024)
As critical conduits for the dissemination of online public opinion, social media platforms offer a timely and effective means for managing emergencies during major disasters, such as earthquakes. This study focuses on the analysis of online public o
Externí odkaz:
https://doaj.org/article/330ccb49e5d54cb7a7ed4d8c89d7fb92
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 9, Pp 2476-2486 (2024)
With the development of social networks, humans express their emotions in different ways, including text, vision and speech, i.e., multimodal. In response to the failure of previous multimodal sentiment analysis methods to effectively obtain multimod
Externí odkaz:
https://doaj.org/article/dd481649ce6442d3b90d4658e9234397
Autor:
Hongyu Shi
Publikováno v:
Systems and Soft Computing, Vol 6, Iss , Pp 200148- (2024)
With the development of the internet, the number of short video platform users has increased quickly. People's social entertainment mode has gradually changed from text to short video, generating many multimodal data. Therefore, traditional single-mo
Externí odkaz:
https://doaj.org/article/677976e8dd334e17bd4dd98e18b82174
Publikováno v:
Engineering Reports, Vol 6, Iss 12, Pp n/a-n/a (2024)
Abstract Accurate cross‐language aspect‐level sentiment analysis methods can provide accurate decision support for social networks, e‐commerce platforms, and other platforms, thereby providing users with higher quality services. However, actual
Externí odkaz:
https://doaj.org/article/d9454a0eed1a4952a413c7c084f9628b
Autor:
Huijing Li, Hong Sun
Publikováno v:
Systems and Soft Computing, Vol 6, Iss , Pp 200092- (2024)
A multi-modal feature based motion emotion analysis model based on a fusion deep learning model is proposed for the problem of analyzing the motion emotions of participants in the joint exercise quality expansion task. This model involves three major
Externí odkaz:
https://doaj.org/article/1593d77f26474cd5b95b50f629ff9b02
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 5, Pp 1318-1327 (2024)
To address the issues of insufficient modal fusion and weak interactivity caused by semantic feature differences between different modalities in multimodal emotion analysis, a temporal multimodal sentiment analysis model for composite cross modal int
Externí odkaz:
https://doaj.org/article/17957e740a5b459c8310509ae18e9757
Publikováno v:
IEEE Access, Vol 12, Pp 96150-96168 (2024)
Affective computing, as its name implies, focuses on the recognition of human emotions, sentiments, and feelings. This interdisciplinary field encompasses diverse areas such as languages, sociology, psychology, computer science, and physiology. Howev
Externí odkaz:
https://doaj.org/article/641d143a9116444383d25c75d71cfa3d
Autor:
Haili Xu
Publikováno v:
PeerJ Computer Science, Vol 10, p e2069 (2024)
Public opinion mining is an active research domain, especially the penetration of the internet and the adoption of smartphones lead to the enormous generation of data in new media. Thus generation of large amounts of data leads to the limitation of t
Externí odkaz:
https://doaj.org/article/aa6e13a9b4ba4bd6a337d59d7fb1699b
Publikováno v:
Nongye tushu qingbao xuebao, Vol 35, Iss 9, Pp 15-27 (2023)
[Purpose/Significance] Citation analysis is an important research field of biblio-metrics, which aims to investigate the citation behavior and academic influence of literature by analyzing the citation relationship of literature. Specifically, full-t
Externí odkaz:
https://doaj.org/article/3c8b3cae586345299ef852bfc06ed14e
Autor:
Wenbin Yang
Publikováno v:
IEEE Access, Vol 11, Pp 93268-93275 (2023)
With the proliferation of the internet, many social platforms continue to emerge, giving rise to a surge in user-generated content. Consequently, abundant textual information permeates the virtual realm, wielding a certain impact on public opinion or
Externí odkaz:
https://doaj.org/article/3705068393fa41199cd6171b0242f16a