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Bidirectional Complementary Correlation-Based Multimodal Aspect-Level Sentiment Analysis 基于双向互补相关性的多模态方面情感分析
International Journal on Semantic Web and Information Systems Pub Date : 2024-02-13 DOI: 10.4018/ijswis.337598
Jing Yang, Yujie Xiong
{"title":"Bidirectional Complementary Correlation-Based Multimodal Aspect-Level Sentiment Analysis","authors":"Jing Yang, Yujie Xiong","doi":"10.4018/ijswis.337598","DOIUrl":"https://doi.org/10.4018/ijswis.337598","url":null,"abstract":"Aspect-based sentiment analysis is the key to natural language processing, and it focuses on the polarity of emotions associated with specific text aspects. Traditional models that combine text and visual data tend to ignore the deeper interconnections between patterns. To solve this problem, the authors propose a multimodal sentiment-oriented analysis (BiCCM-ABSA) model based on bidirectional complementary correlation. The model utilizes text-image synergy through a novel cross-modal attention mechanism to align text with image features. With the transformer architecture, it is not only a simple fusion, but also ensures the complex alignment of multi-modal features and gating mechanisms. Experiments were conducted on the Twitter-15 and Twitter-17 datasets, achieving 69.28 accuracy and 67.54% F1 score, respectively. The experimental results demonstrate the advantages of BiCCM-ABSA, the bidirectional approach of the model and the effective cross-modal correlation set a new benchmark in the field of multimodal emotion recognition, providing insights beyond traditional single-modal analysis.","PeriodicalId":508238,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"57 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139779891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Consequences of Gamification in Mobile Commerce Platform Applications 移动商务平台应用中的游戏化后果
International Journal on Semantic Web and Information Systems Pub Date : 2024-02-07 DOI: 10.4018/ijswis.337599
O. Bouzaabia, Mohamed Ben Arbia, David Juarez Juárez Varón, Kwok Tai Chui
{"title":"The Consequences of Gamification in Mobile Commerce Platform Applications","authors":"O. Bouzaabia, Mohamed Ben Arbia, David Juarez Juárez Varón, Kwok Tai Chui","doi":"10.4018/ijswis.337599","DOIUrl":"https://doi.org/10.4018/ijswis.337599","url":null,"abstract":"Gamification in mobile apps has a research gap, given the potential for gamification to enhance user repurchase intention in a mobile commerce context. This research investigates the concept of gamified m-commerce platform application through the lenses of customer experience and repurchase intention. The study proposes an empirical model to examine the relationship between hedonic value, utilitarian value, customer experience, and repurchase intention in the context of mobile commerce platform application. It is underscoring the importance of exploring the application of gamified m-commerce platforms and their impact on customer experience and repurchase intention. The findings contribute to the existing body of literature on online retail by offering new insights into the implications of gamified m-commerce platform applications. A quantitative research approach was employed, and an online questionnaire was used to gather data. The collected data from a sample of 270 mobile commerce shoppers was analyzed. The results supported all direct hypothesized associations among variables.","PeriodicalId":508238,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"14 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139795401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The Consequences of Gamification in Mobile Commerce Platform Applications 移动商务平台应用中的游戏化后果
International Journal on Semantic Web and Information Systems Pub Date : 2024-02-07 DOI: 10.4018/ijswis.337599
O. Bouzaabia, Mohamed Ben Arbia, David Juarez Juárez Varón, Kwok Tai Chui
{"title":"The Consequences of Gamification in Mobile Commerce Platform Applications","authors":"O. Bouzaabia, Mohamed Ben Arbia, David Juarez Juárez Varón, Kwok Tai Chui","doi":"10.4018/ijswis.337599","DOIUrl":"https://doi.org/10.4018/ijswis.337599","url":null,"abstract":"Gamification in mobile apps has a research gap, given the potential for gamification to enhance user repurchase intention in a mobile commerce context. This research investigates the concept of gamified m-commerce platform application through the lenses of customer experience and repurchase intention. The study proposes an empirical model to examine the relationship between hedonic value, utilitarian value, customer experience, and repurchase intention in the context of mobile commerce platform application. It is underscoring the importance of exploring the application of gamified m-commerce platforms and their impact on customer experience and repurchase intention. The findings contribute to the existing body of literature on online retail by offering new insights into the implications of gamified m-commerce platform applications. A quantitative research approach was employed, and an online questionnaire was used to gather data. The collected data from a sample of 270 mobile commerce shoppers was analyzed. The results supported all direct hypothesized associations among variables.","PeriodicalId":508238,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"78 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139855453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Channel Semantic Enhancement-Based Emotional Recognition Method Using SCLE-2D-CNN 使用 SCLE-2D-CNN 的基于通道语义增强的情感识别方法
International Journal on Semantic Web and Information Systems Pub Date : 2024-02-01 DOI: 10.4018/ijswis.337286
Dan Fu, Weisi Yang, Li Pan
{"title":"Channel Semantic Enhancement-Based Emotional Recognition Method Using SCLE-2D-CNN","authors":"Dan Fu, Weisi Yang, Li Pan","doi":"10.4018/ijswis.337286","DOIUrl":"https://doi.org/10.4018/ijswis.337286","url":null,"abstract":"The existing EEG emotion classification methods have some problems, such as insufficient emotion representation and lack of targeted channel enhancement module due to feature redundancy. To this end, a novel EEG emotion recognition method (SCLE-2D-CNN) combining scaled convolutional layer (SCLs), enhanced channel module and two-dimensional convolutional neural network (2D-CNN) is proposed. Firstly, the time-frequency features of multi-channel EEG emotional signals were extracted by stacking scl layer by layer. Secondly, channel enhancement module is used to reassign different importance to all EEG physical channels. Finally, 2D-CNN was used to obtain deep local spatiotemporal features and complete emotion classification. The experimental results show that the accuracy of SEED data set and F1 are 98.09% and 97.00%, respectively, and the binary classification accuracy of DEAP data set is 98.06% and 96.83%, respectively, which are superior to other comparison methods. The proposed method has a certain application prospect in the recognition of human mental state.","PeriodicalId":508238,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139819207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Channel Semantic Enhancement-Based Emotional Recognition Method Using SCLE-2D-CNN 使用 SCLE-2D-CNN 的基于通道语义增强的情感识别方法
International Journal on Semantic Web and Information Systems Pub Date : 2024-02-01 DOI: 10.4018/ijswis.337286
Dan Fu, Weisi Yang, Li Pan
{"title":"Channel Semantic Enhancement-Based Emotional Recognition Method Using SCLE-2D-CNN","authors":"Dan Fu, Weisi Yang, Li Pan","doi":"10.4018/ijswis.337286","DOIUrl":"https://doi.org/10.4018/ijswis.337286","url":null,"abstract":"The existing EEG emotion classification methods have some problems, such as insufficient emotion representation and lack of targeted channel enhancement module due to feature redundancy. To this end, a novel EEG emotion recognition method (SCLE-2D-CNN) combining scaled convolutional layer (SCLs), enhanced channel module and two-dimensional convolutional neural network (2D-CNN) is proposed. Firstly, the time-frequency features of multi-channel EEG emotional signals were extracted by stacking scl layer by layer. Secondly, channel enhancement module is used to reassign different importance to all EEG physical channels. Finally, 2D-CNN was used to obtain deep local spatiotemporal features and complete emotion classification. The experimental results show that the accuracy of SEED data set and F1 are 98.09% and 97.00%, respectively, and the binary classification accuracy of DEAP data set is 98.06% and 96.83%, respectively, which are superior to other comparison methods. The proposed method has a certain application prospect in the recognition of human mental state.","PeriodicalId":508238,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"39 1-2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139879343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Semantic Tree-Based Fast-Moving Object Trajectory Tracking Algorithm for Table Tennis 基于语义树的乒乓球快速移动物体轨迹跟踪算法
International Journal on Semantic Web and Information Systems Pub Date : 2024-02-01 DOI: 10.4018/ijswis.337320
Zechen Jin, Tianjian Zou, Dazhuang Sun, Yu Yang, Jun Liu
{"title":"A Semantic Tree-Based Fast-Moving Object Trajectory Tracking Algorithm for Table Tennis","authors":"Zechen Jin, Tianjian Zou, Dazhuang Sun, Yu Yang, Jun Liu","doi":"10.4018/ijswis.337320","DOIUrl":"https://doi.org/10.4018/ijswis.337320","url":null,"abstract":"Table tennis is a popular sport around the world. A key technology in table tennis education and analysis system is reconstructing the trajectory of the fast-moving ball from videos. Typically the table tennis ball is too small and barely visible in the video, making it difficult to be recognized directly by detection models like YOLO. However, table tennis balls usually has obvious motion features, which are usually not found in similar false targets. It inspired the authors to first find all candidate targets and then use the motion features of table tennis ball to select them out. In this article, the authors propose a tree-based algorithm named T-FORT to track the ball and reconstruct its trajectory. Specifically, they consider all the possible objects in a tree-framework, and identify the real target by integrating visual features and moving patterns. The authors conduct a set of experiments on three datasets to evaluate the effectiveness and performance of the proposed algorithm. The experimental results show that the proposed method is more precise than existing algorithms, and is robust in various scenarios.","PeriodicalId":508238,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"61 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139887964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Semantic Tree-Based Fast-Moving Object Trajectory Tracking Algorithm for Table Tennis 基于语义树的乒乓球快速移动物体轨迹跟踪算法
International Journal on Semantic Web and Information Systems Pub Date : 2024-02-01 DOI: 10.4018/ijswis.337320
Zechen Jin, Tianjian Zou, Dazhuang Sun, Yu Yang, Jun Liu
{"title":"A Semantic Tree-Based Fast-Moving Object Trajectory Tracking Algorithm for Table Tennis","authors":"Zechen Jin, Tianjian Zou, Dazhuang Sun, Yu Yang, Jun Liu","doi":"10.4018/ijswis.337320","DOIUrl":"https://doi.org/10.4018/ijswis.337320","url":null,"abstract":"Table tennis is a popular sport around the world. A key technology in table tennis education and analysis system is reconstructing the trajectory of the fast-moving ball from videos. Typically the table tennis ball is too small and barely visible in the video, making it difficult to be recognized directly by detection models like YOLO. However, table tennis balls usually has obvious motion features, which are usually not found in similar false targets. It inspired the authors to first find all candidate targets and then use the motion features of table tennis ball to select them out. In this article, the authors propose a tree-based algorithm named T-FORT to track the ball and reconstruct its trajectory. Specifically, they consider all the possible objects in a tree-framework, and identify the real target by integrating visual features and moving patterns. The authors conduct a set of experiments on three datasets to evaluate the effectiveness and performance of the proposed algorithm. The experimental results show that the proposed method is more precise than existing algorithms, and is robust in various scenarios.","PeriodicalId":508238,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"43 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139828156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SSVEP-Enhanced Threat Detection and Its Impact on Image Segmentation SSVEP 增强型威胁检测及其对图像分割的影响
International Journal on Semantic Web and Information Systems Pub Date : 2024-01-23 DOI: 10.4018/ijswis.336550
Shouwei Gao, Yi Cheng, Shujun Mao, Xiangyu Fan, Xingyang Deng
{"title":"SSVEP-Enhanced Threat Detection and Its Impact on Image Segmentation","authors":"Shouwei Gao, Yi Cheng, Shujun Mao, Xiangyu Fan, Xingyang Deng","doi":"10.4018/ijswis.336550","DOIUrl":"https://doi.org/10.4018/ijswis.336550","url":null,"abstract":"Selective attention, essential in discerning visual stimuli, enables the identification of threats such as snakes—a prime evolutionary influence on the human visual system. This phenomenon is encapsulated in snake detection theory (SDT), which posits that our ancestors' need to recognize these predators led to specialized perceptual abilities. This investigation utilizes steady-state visual evoked potentials (SSVEP) alongside the random image structure evolution technique, which systematically increases visual clarity through the interpolation of random noise, to probe the neural mechanisms underpinning selective attention, with a focus on serpentine forms. These findings underscore snakes' unique perceptual impact due to their curved forms and scaled textures, crucial for quick recognition—advancing image semantic segmentation and recognition tech.. This is particularly relevant for security and wildlife management, showcasing the evolutionary progression and cognitive prowess of the human visual apparatus.","PeriodicalId":508238,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"53 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139603573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Short Text Semantic Sentiment Analysis Based on Dual Channel Aspect Attention in Intelligent Systems 智能系统中基于双通道方面注意的短文语义情感分析
International Journal on Semantic Web and Information Systems Pub Date : 2024-01-17 DOI: 10.4018/ijswis.336480
Yan Li
{"title":"Short Text Semantic Sentiment Analysis Based on Dual Channel Aspect Attention in Intelligent Systems","authors":"Yan Li","doi":"10.4018/ijswis.336480","DOIUrl":"https://doi.org/10.4018/ijswis.336480","url":null,"abstract":"Traditional deep learning models for text sentiment analysis fail to fully harness the contextual semantic information of aspect nodes or use prior sentiment resources. This paper proposes a dual channel sentiment analysis model named M2BERT-BLSTM AA that is based on an enhanced Bidirectional Encoder Representations from Transformers(BERT)and Bidirectional Long short-term memory(BLSTM) model and incorporates a Dual Attention Mechanism. Firstly, an emotional resource database is constructed using existing emotional resources. Secondly, vectors are concatenated following mean and max pooling along the dimension of sentence length. These semantic features mitigate evaluation imbalance.Then the text and sentiment information are encoded separately, using distinct Attention Mechanism(Att-M) to extract contextual relationships and emotional features. The model's Aspect-Based multi-class sentiment prediction accuracies on the three Chinese datasets of Meituan ordering, restaurants, and laptops are 75.2%, 87.5%, and 75%, respectively, showing improved performance on sentiment classification.","PeriodicalId":508238,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":" 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139616952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Neurotechnologies Applied to Society's Perception of Cyber-Physical Systems (CPS) in Smart Cities 神经技术应用于社会对智能城市中网络物理系统（CPS）的感知
International Journal on Semantic Web and Information Systems Pub Date : 2024-01-12 DOI: 10.4018/ijswis.335947
David Juárez-Varón, René Ernesto Esquivel Gaón, Ana Mengual-Recuerda, Camilo Vera-Sepúlveda
{"title":"Neurotechnologies Applied to Society's Perception of Cyber-Physical Systems (CPS) in Smart Cities","authors":"David Juárez-Varón, René Ernesto Esquivel Gaón, Ana Mengual-Recuerda, Camilo Vera-Sepúlveda","doi":"10.4018/ijswis.335947","DOIUrl":"https://doi.org/10.4018/ijswis.335947","url":null,"abstract":"This study aims to quantify the perception of value and acceptance by citizens of the use of cyber-physical systems (CPS) in transportation systems and smart cities using neurotechnologies. The work has been developed in the main cities of the following Latin American countries: Spain, Ecuador, Colombia, and Argentina. Targeting urban, public transport-using graduates, it assesses CPS in smart cities and user experiences. Triangulating qualitative research and neurotechnology, the study extends the taxonomy of emotional domains. The results indicate that users do not always assign equivalent importance to what they truly feel, and it is noteworthy that the most important factor, both quantitatively and emotionally, is the application of CPS to improve efficiency in public transportation. The implications of these analyses are discussed in the final part of the article with the aim of providing recommendations to policymakers on the key aspects to be considered in the design and development of CPS for use in smart cities.","PeriodicalId":508238,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":" 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139624968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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