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WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge
[article]
2024
arXiv
pre-print
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Sentiment analysis is rapidly advancing by utilizing various data modalities (e.g., text, image). ...
pairs) and thereby restricting their ability to achieve better multimodal sentiment analysis (MSA). ...
Here, we leverage LVLMs to enhance multimodal sentiment analysis by generating relevant world knowledge. ...
arXiv:2401.06659v2
fatcat:luic5shl7vhqzmx3w52oyeifcm
Survey on AI-Based Multimodal Methods for Emotion Detection
[chapter]
2019
Msphere
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We focus on the impact of emotion analysis and state of the arts of multimodal emotion detection. ...
Finally, we present the available platform and outlines the existing projects, which deal with multimodal emotion analysis. ...
Interesting work is realized by Poria et al., who developed a LTSM-based network to extract contextual features from the video for multimodal sentiment analysis [10] . ...
doi:10.1007/978-3-030-16272-6_11
fatcat:fzyhqntc7rb3fdsic4fzsippzq
Facilitating Multiple Intelligences Through Multimodal Learning Analytics
2018
The Turkish Online Journal of Distance Education
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and organizational managers can implement them for the improvement of online education. ...
The study first emphasizes the need to facilitate students as multiple intelligences by online education systems and then suggests a framework of the advanced form of learning analytics i.e., multimodal ...
How to transform the theoretical underpinnings into practical implementation by fusing multimodal forms of data like voice analysis, gesture analysis, eye movements, students' physical movements whether ...
doi:10.17718/tojde.382655
fatcat:sctr7om4p5enhezdvuj2d7xhiu
Stock Market Analysis with Text Data: A Review
[article]
2021
arXiv
pre-print
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Stock market movements are influenced by public and private information shared through news articles, company reports, and social media discussions. ...
Then, we cover the analysis techniques and create a taxonomy of the main stock market forecast models. ...
The incorporative attention combines local and contextual attention mechanisms to clean the contextual embeddings by using local semantics which reduces the noise in the features and improves the model ...
arXiv:2106.12985v2
fatcat:prfo5c6bmfd3piwpl5yevfycje
AI in Finance: Challenges, Techniques and Opportunities
[article]
2021
arXiv
pre-print
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The landscapes and challenges of financial businesses and data are firstly outlined, followed by a comprehensive categorization and a dense overview of the decades of AI research in finance. ...
Typical methods include social media analysis, topic modeling, sentiment analysis, emotional analysis, influence analysis, modeling linkage and interactions, multimodal analysis, deep reinforcement learning ...
EcoFin systems, products and services are more connected to and deeply influenced by the rest of world, including market dynamics and sentiment, politics, globalization and exceptional events, than many ...
arXiv:2107.09051v1
fatcat:g62cz4dqt5dcrbckn4lbveat3u
Front Matter: Volume 8745
2013
Signal Processing, Sensor Fusion, and Target Recognition XXII
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Papers were selected and subject to review by the editors and conference program committee. Some conference presentations may not be available for publication. ...
These two-number sets start with 00, 01, 02, 03, 04, 05, 06, 07, 08, 09, 0A, 0B ... 0Z, followed by 10-1Z, 20-2Z, etc. The CID Number appears on each page of the manuscript. ...
Acknowledgement: This work is being supported by the DARPA XDATA Program under contract no. ...
doi:10.1117/12.2031900
fatcat:dwkpv5gaqfemlpqebcgmquu63i
The Future of Cognitive Strategy-enhanced Persuasive Dialogue Agents: New Perspectives and Trends
[article]
2024
arXiv
pre-print
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Then we propose a new system architecture by incorporating the formalized definition to lay the foundation of CogAgent. ...
However, as a typical and complicated cognitive psychological system, persuasive dialogue agents also require knowledge from the domain of cognitive psychology to attain a level of human-like persuasion ...
Acknowledgements This work was partially supported by the National Science Fund for Distinguished Young Scholars(62025205), and the National Natural Science Foundation of China (No. 62032020). ...
arXiv:2402.04631v1
fatcat:lcya6b7hdbghhiazohuucqeaze
Pre-Trained Models: Past, Present and Future
[article]
2021
arXiv
pre-print
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, improving computational efficiency, and conducting interpretation and theoretical analysis. ...
By storing knowledge into huge parameters and fine-tuning on specific tasks, the rich knowledge implicitly encoded in huge parameters can benefit a variety of downstream tasks, which has been extensively ...
Knowledge of PTMs The implicit knowledge captured by PTMs can be roughly divided into two categories: linguistic knowledge and world knowledge. Linguistic Knowledge. ...
arXiv:2106.07139v3
fatcat:kn6gk2bg4jecndvlhhvq32x724
Personalization in multimedia retrieval: A survey
2010
Multimedia tools and applications
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Combining these challenges by relating them to user preference and customization only complicates the matter further. ...
The goal of this survey is to give an overview of the current situation in the branches of research that are involved in annotation, relation and presentation to a user by preference. ...
The work of Nicu Sebe has been supported by the FP7 IP GLOCAL european project and by the FIRB S-PATTERN project. ...
doi:10.1007/s11042-010-0621-0
fatcat:lopdnnydibfbtowpl2bicoswye
Towards Natural Language Interfaces for Data Visualization: A Survey
[article]
2021
arXiv
pre-print
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Application Apart from facilitating data analysis, much attention has been paid to benefit real-world applications by integrating visual analysis and natural language interface. Huang et al. ...
CogNet [252] , a knowledge base dedicated to integrating linguistic knowledge (FrameNet), world knowledge (YAGO, Freebase, DBpedia, and Wikidata), and commonsense knowledge (ConceptNet), will be useful ...
arXiv:2109.03506v1
fatcat:7cz5ibrwyrhdlbkij3e74u6lem
Psychotherapy Integration: A Postmodern Critique
1997
Clinical Psychology
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This article critiques major trends in the psychotherapy integration movement from the postmodem perspectives of contextualism and pluralism. ...
The article also spollr out the implications of contextualism i n d pluralism for psychotherapy theory, practice, and research. ...
The problem can be illustrated by reference to the hermeneutic circle, which stresses the contextual nature of knowledge (Messer, Messer, Sass, & Woolfolk, 1988) . ...
doi:10.1111/j.1468-2850.1997.tb00106.x
fatcat:ybbobde3qbfxzfd66sspas5lia
Text-based Sentiment Analysis and Music Emotion Recognition
[article]
2018
arXiv
pre-print
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The derived architecture achieves competitive performance on sentiment polarity analysis of movie, business and product reviews. ...
This thesis addresses the above problems to provide methodological and practical insights for utilizing neural networks on sentiment analysis of texts and achieving state of the art results. ...
Authors report significant improvements when comparing with BOW representation on supervised sentiment analysis of short texts like sentences. ...
arXiv:1810.03031v1
fatcat:4vj4euwtxbghbjdev2gutcgjny
An IoE and Big Multimedia Data Approach for Urban Transport System Resilience Management in Smart Cities
2021
Sensors
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analytics of different data sources like social media, communication networks, IoT, user behavior; (d) tools for knowledge driven decisions able to combine different information generated by analytics ...
the possible data generated by the city open new possibility for resilience operationalization. ...
The authors would like to thank all of them for the great spurs we received in the context of using and improving the solution and derived smart tools and processes. ...
doi:10.3390/s21020435
pmid:33435451
pmcid:PMC7827260
fatcat:2j5ta5i3djcddbc6fxuilc4msy
A Roadmap for Big Model
[article]
2022
arXiv
pre-print
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2022 pre-print arXiv:2203.14101v3 fatcat:m7pyxdvamfdndaipb3lew3syhyOther Versions
We introduce 16 specific BM-related topics in those four parts, they are Data, Knowledge, Computing System, Parallel Training System, Language Model, Vision Model, Multi-modal Model, Theory&Interpretability ...
These tasks usually require neural models to understand the semantic information behind the textual representations and have lots of real-world applications, such as sentiment analysis [335, 286] , textural ...
It covers 6 datasets of 4 tasks, including sentiment analysis, natural language inference, similarity, and paraphrasing. ...
arXiv:2203.14101v4
fatcat:rdikzudoezak5b36cf6hhne5u4
Multimodal Lecture Presentations Dataset: Understanding Multimodality in Educational Slides
[article]
2022
arXiv
pre-print
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Lecture slide presentations, a sequence of pages that contain text and figures accompanied by speech, are constructed and presented carefully in order to optimally transfer knowledge to students. ...
We conclude by shedding light on the challenges and opportunities in multimodal understanding of educational presentations. ...
Conclusion In conclusion, we present the Multimodal Lecture Presentations Dataset as benchmark for developing AI technologies that can communicate multimodal knowledge in educational content. ...
arXiv:2208.08080v1
fatcat:3oig2zbgrbe6bnvyowznht57wy
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