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Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis [article]

Dimitris Gkoumas, Qiuchi Li, Shahram Dehdashti, Massimo Melucci, Yijun Yu, Dawei Song
2021 arXiv   pre-print
Accordingly, we propose a fundamentally new, quantum cognitively motivated fusion strategy for predicting sentiment judgments.  ...  Video sentiment analysis as a decision-making process is inherently complex, involving the fusion of decisions from multiple modalities and the so-caused cognitive biases.  ...  Acknowledgements This study is supported by the Quantum Information Access and Retrieval Theory (QUARTZ) project, which has received funding from the European Union's Horizon 2020 research and innovation  ... 
arXiv:2101.04406v2 fatcat:unnemhca2vf3nk3f3twbydjema

Quantum-inspired Multimodal Fusion for Video Sentiment Analysis [article]

Qiuchi Li, Dimitris Gkoumas, Christina Lioma, Massimo Melucci
2021 arXiv   pre-print
We tackle the crucial challenge of fusing different modalities of features for multimodal sentiment analysis.  ...  The complex-valued neural network implementation of the framework achieves comparable results to state-of-the-art systems on two benchmarking video sentiment analysis datasets.  ...  Jakob Simenson for his valuable feedback.  ... 
arXiv:2103.10572v2 fatcat:hldyp5i35jhwrdtc7gvneb353m

Urdu Sentiment Analysis via Multimodal Data Mining Based on Deep Learning Algorithms

Urooba Sehar, Summrina Kanwal, Kia Dashtipur, Usama Mir, Ubaid Abbasi, Faiza Khan
2021 IEEE Access  
Furthermore, we have used both decision-level and feature-level fusion methods to improve sentiment polarity prediction.  ...  Secondly, we have also presented a novel framework for multimodal sentiment analysis (MSA) that incorporates acoustic, visual, and textual responses to detect context-aware sentiments.  ...  TABLE 7 . 7 Classification results for video dataset sentiment analysis. TABLE 8 . 8 Classification of the utterance with decision level fusion.  ... 
doi:10.1109/access.2021.3122025 fatcat:ff6pixsqrnblnffrx7b3mzd4y4

A Comprehensive Review of Visual-Textual Sentiment Analysis from Social Media Networks [article]

Israa Khalaf Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Saeed Pashazadeh, Mohammad Asadpour
2022 arXiv   pre-print
Consequently, automated sentiment analysis (SA) is critical for recognising people's feelings in ways that other information sources cannot.  ...  To serve as a resource for academics in this rapidly growing field, we introduce a comprehensive overview of textual and visual SA, including data pre-processing, feature extraction techniques, sentiment  ...  For the task of visual-textual sentiment classification, three levels of fusion, namely, early-or feature-level fusion, intermediate-or joint-level fusion and late-or decision-level fusion, can be defined  ... 
arXiv:2207.02160v1 fatcat:l3vxpjnqkrfthkvhdldwonpoe4

Combining machine-based and econometrics methods for policy analytics insights

Robert J. Kauffman, Kwansoo Kim, Sang-Yong Tom Lee, Ai-Phuong Hoang, Jing Ren
2017 Electronic Commerce Research and Applications  
In fact, the coverage is as broad as for-profit and for-non-profit, private and public, and governmental and non-governmental institutions.  ...  The approach discussed is fusion analytics, which combines machine-based methods from Computer Science (CS) and explanatory empiricism involving advanced Econometrics and Statistics.  ...  Table A1 offers a summary of the research based on: (1) the purpose for which the data are intended to be analyzed; (2) the Appendix. A. Fusion analytics examples  ... 
doi:10.1016/j.elerap.2017.04.004 fatcat:g6onq7o2yjfpxi5lzofqjhfylm

A Review of the Teaching and Learning on Power Electronics Course

Krismadinata, Kasman Rukun, Yahfizham
2018 2018 International Conference on Applied Information Technology and Innovation (ICAITI)  
The results of the problems generally established that student learning motivation was low, teaching approaches that are still teacher-centered, the scope of the curriculum extends, and the physical limitations  ...  The results of the problems generally established that student learning motivation was low, teaching approaches that are still teacher-centered, the scope of the curriculum extends, and the physical limitations  ...  ACKNOWLEDGMENT The authors would like to thank to Universitas Negeri Padang and Universitas Islam Negeri SU Medan, for the permission to publish this paper and colleagues particularly for their support  ... 
doi:10.1109/icaiti.2018.8686748 fatcat:b5vxrilaubhmzd4ws6ztggtzza

Quantum Cognitively Motivated Context-Aware Multimodal Representation Learning for Human Language Analysis

Dimitris Gkoumas
First, we present a comprehensive empirical comparison of state-of-the-art (SOTA) modality fusion strategies for video sentiment analysis.  ...  Second, we introduce an end-to-end complex-valued neural model for video sentiment analysis, simulating quantum procedural steps, outside of physics, into the neural network modelling paradigm.  ...  A quantum cognitively motivated decision fusion for video sentiment analysis. In AAAI 2021.  ... 
doi:10.21954/ fatcat:55lw7adiezgbrcgo3qgj5i6tda

An Entanglement-driven Fusion Neural Network for Video Sentiment Analysis

Dimitris Gkoumas, Qiuchi Li, Yijun Yu, Dawei Song
2021 Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence   unpublished
Therefore, a key challenge for video sentiment analysis is how to combine different modalities for sentiment recognition effectively.  ...  Comprehensive evaluation on two benchmarking datasets for video sentiment analysis shows that the model achieves significant performance improvement.  ...  The notion of quantum incompatibility has been exploited to fuse decisions from different modalities for video sentiment analysis [Gkoumas et al., 2021a] .  ... 
doi:10.24963/ijcai.2021/239 fatcat:hgh3jljwxjdghc5ugpuyy2k6km

Image splicing detection with local illumination estimation

Yu Fan, Philippe Carre, Christine Fernandez-Maloigne
2015 2015 IEEE International Conference on Image Processing (ICIP)  
Video Analysis Object Recognition I Object Recognition II Hystocytological Feature Extraction & Classification Image Registration, Fusion & Mosaicking I Image Registration, Fusion  ...  | ICIP 2015 -Tutorials Course Motivation and Description Recently, visual saliency has received extensively growing attention across many disciplines including cognitive psychology, neurobiology,  ...  A decision-level fusion is then performed . The demonstration consists of a subject-specific training for say three hand actions followed by a real-time testing or operation .  ... 
doi:10.1109/icip.2015.7351341 dblp:conf/icip/FanCF15 fatcat:7ja5gjnp5rafvedc2nman7xcru

Explainable AI for B5G/6G: Technical Aspects, Use Cases, and Research Challenges [article]

Shen Wang, M.Atif Qureshi, Luis Miralles-Pechuaán, Thien Huynh-The, Thippa Reddy Gadekallu, Madhusanka Liyanage
2021 arXiv   pre-print
These decisions can range widely, from network resource allocation to collision avoidance for self-driving cars.  ...  However, the risk of losing control over decision-making may increase due to high-speed data-intensive AI decision-making beyond designers and users' comprehension.  ...  For example, to predict from digital images and videos.  ... 
arXiv:2112.04698v1 fatcat:y7ss4opmrjbsbjm3ip2vgkkgky

Survey on cyberspace security

HuanGuo Zhang, WenBao Han, XueJia Lai, DongDai Lin, JianFeng Ma, JianHua Li
2015 Science China Information Sciences  
Cyberspace is the collection of all information systems; it is the information environment for human survival. Therefore, it is necessary to ensure the security of cyberspace.  ...  We would like to thank the following for their help in writing this article: FU JianMin, ZHANG LiQiang, YUAN Wei, XI Ning, LU Di, WU Jun.  ...  for decisions by governments [285] .  ... 
doi:10.1007/s11432-015-5433-4 fatcat:b2tv6gvovngxhlz7iukug2ehiy

How Can We Reduce the Gulf between Artificial and Natural Intelligence?

Aaron Sloman
2014 International Workshop on Artificial Intelligence and Cognition  
Center for Cognitive Science -University and Polytechnic of Turin (http://www.  ...  Fondazione Rosselli, Torino ( Supporting Institutions Associazione Italiana per l'Intelligenza Artificiale ( Associazione Italiana per le Science Cognitive  ...  the Italian Association of Cognitive Sciences (AISC, for their support in the organisation of the workshop, and also the Rosselli Foundation (Fondazione Rosselli), Turin, Italy  ... 
dblp:conf/aic/Sloman14 fatcat:4dlcqkjksvgahp6tkqvqpm6q4q

The Roles and Modes of Human Interactions with Automated Machine Learning Systems [article]

Thanh Tung Khuat, David Jacob Kedziora, Bogdan Gabrys
2022 arXiv   pre-print
Such a discussion is necessary for optimal system design, leveraging advanced data-processing capabilities to support decision-making involving humans, but it is also key to identifying the opportunities  ...  (ii) Do the expectations of HCI within AutoML frameworks vary for different types of users and stakeholders?  ...  , video, speech, and tabular.  ... 
arXiv:2205.04139v1 fatcat:kfo3oybsjvfs5gjyt2j3dbaali

Critical analysis of Big Data challenges and analytical methods

Uthayasankar Sivarajah, Muhammad Mustafa Kamal, Zahir Irani, Vishanth Weerakkody
2017 Journal of Business Research  
Big Data (BD), with their potential to ascertain valued insights for enhanced decision-making process, have recently attracted substantial interest from both academics and practitioners.  ...  Therefore, prior to hasty use and buying costly BD tools, there is a need for organizations to first understand the BDA landscape.  ...  It is as vital as nanotechnology and quantum computing in the present era.  ... 
doi:10.1016/j.jbusres.2016.08.001 fatcat:btg4l5txqzflbelneexeymflmy

Enhanced vector space models for content-based recommender systems

Cataldo Musto
2010 Proceedings of the fourth ACM conference on Recommender systems - RecSys '10  
Integrating collaborative filtering and sentiment analysis: A rating inference approach.  ...  According to Malone [MGT+ 87], the approaches for Information Filtering can be classified in three different categories: cognitive, economic and social: • Cognitive filtering: based on content analysis  ... 
doi:10.1145/1864708.1864791 dblp:conf/recsys/Musto10 fatcat:btpepieksvdrtpgdihskllxc34
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