Uneingeschränkter Zugang

Emotional analysis and semantic understanding of multimodal network language data

  
31. März 2025

Zitieren
COVER HERUNTERLADEN

Chiorrini, A., Diamantini, C., & Storti, P. E. (2023). An emotion-aware search engine for multimedia content based on deep learning algorithms. International Journal of Computer Applications in Technology, 73(2), 130-139. Chiorrini A. Diamantini C. Storti P. E. ( 2023 ). An emotion-aware search engine for multimedia content based on deep learning algorithms . International Journal of Computer Applications in Technology , 73 ( 2 ), 130 - 139 . Search in Google Scholar

Sun, L., Lian, Z., & Tao, L. J. (2024). Efficient multimodal transformer with dual-level feature restoration for robust multimodal sentiment analysis. IEEE Transactions on Affective Computing, 15(1), 309-325. Sun L. Lian Z. Tao L. J. ( 2024 ). Efficient multimodal transformer with dual-level feature restoration for robust multimodal sentiment analysis . IEEE Transactions on Affective Computing , 15 ( 1 ), 309 - 325 . Search in Google Scholar

Mai, S., Zeng, Y., & Hu, Z. H. (2023). Hybrid contrastive learning of tri-modal representation for multimodal sentiment analysis. IEEE Transactions on Affective Computing, 14(3), 2276-2289. Mai S. Zeng Y. Hu Z. H. ( 2023 ). Hybrid contrastive learning of tri-modal representation for multimodal sentiment analysis . IEEE Transactions on Affective Computing , 14 ( 3 ), 2276 - 2289 . Search in Google Scholar

Stappen, L., Baird, A., & Schuller, S. B. (2023). The multimodal sentiment analysis in car reviews (MUSE-CAR) dataset: Collection, insights and improvements. IEEE Transactions on Affective Computing, 14(2), 1334-1350. Stappen L. Baird A. Schuller S. B. ( 2023 ). The multimodal sentiment analysis in car reviews (MUSE-CAR) dataset: Collection, insights and improvements . IEEE Transactions on Affective Computing , 14 ( 2 ), 1334 - 1350 . Search in Google Scholar

Li, M., Zhu, Y., Gao, W., Cao, M., & Wang, S. (2020). Joint sentiment part topic regression model for multimodal analysis. Information (Switzerland), 11(10), 486. Li M. Zhu Y. Gao W. Cao M. Wang S. ( 2020 ). Joint sentiment part topic regression model for multimodal analysis . Information (Switzerland) , 11 ( 10 ), 486 . Search in Google Scholar

Gkoumas, D., Li, Q., Lioma, C., Yu, Y., & Song, D. (2021). What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis. Information Fusion, 66(6), 184-197. Gkoumas D. Li Q. Lioma C. Yu Y. Song D. ( 2021 ). What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis . Information Fusion , 66 ( 6 ), 184 - 197 . Search in Google Scholar

Huang, Q., Chen, J., Huang, C., Huang, X., & Wang, Y. (2024). Text-centered cross-sample fusion network for multimodal sentiment analysis. Multimedia Systems, 30(4), 1-19. Huang Q. Chen J. Huang C. Huang X. Wang Y. ( 2024 ). Text-centered cross-sample fusion network for multimodal sentiment analysis . Multimedia Systems , 30 ( 4 ), 1 - 19 . Search in Google Scholar

Guo, X., Tian, S., Yu, L., & He, X. (2024). SmarTran: Smart routing attention network for multimodal sentiment analysis. Applied Intelligence, 54(24), 12742-12763. Guo X. Tian S. Yu L. He X. ( 2024 ). SmarTran: Smart routing attention network for multimodal sentiment analysis . Applied Intelligence , 54 ( 24 ), 12742 - 12763 . Search in Google Scholar

Sun, H., Chen, Y. W., & Lin, L. (2023). Tensorformer: A tensor-based multimodal transformer for multimodal sentiment analysis and depression detection. IEEE Transactions on Affective Computing, 14(4), 2776-2786. Sun H. Chen Y. W. Lin L. ( 2023 ). Tensorformer: A tensor-based multimodal transformer for multimodal sentiment analysis and depression detection . IEEE Transactions on Affective Computing , 14 ( 4 ), 2776 - 2786 . Search in Google Scholar

Parseh, M. J., Rahmanimanesh, M., Keshavarzi, P., & Azimifar, Z. (2022). Semantic embedding: Scene image classification using scene-specific objects. Multimedia Systems, 29(2), 669-691. Parseh M. J. Rahmanimanesh M. Keshavarzi P. Azimifar Z. ( 2022 ). Semantic embedding: Scene image classification using scene-specific objects . Multimedia Systems , 29 ( 2 ), 669 - 691 . Search in Google Scholar

Qi, Q., Lin, L., & Zhang, R. (2021). Feature extraction network with attention mechanism for data enhancement and recombination fusion for multimodal sentiment analysis. Information (Switzerland), 12(9), 342. Qi Q. Lin L. Zhang R. ( 2021 ). Feature extraction network with attention mechanism for data enhancement and recombination fusion for multimodal sentiment analysis . Information (Switzerland) , 12 ( 9 ), 342 . Search in Google Scholar

Saha, T., Upadhyaya, A., & Bhattacharyya, S. P. (2022). A multitask multimodal ensemble model for sentiment-and emotion-aided tweet act classification. IEEE Transactions on Computational Social Systems, 9(2), 508-517. Saha T. Upadhyaya A. Bhattacharyya S. P. ( 2022 ). A multitask multimodal ensemble model for sentiment-and emotion-aided tweet act classification . IEEE Transactions on Computational Social Systems , 9 ( 2 ), 508 - 517 . Search in Google Scholar

Roldo, L., De Charette, R., & Verroust-Blondet, A. (2022). 3D semantic scene completion: A survey. International Journal of Computer Vision, 130(8), 1978-2005. Roldo L. De Charette R. Verroust-Blondet A. ( 2022 ). 3D semantic scene completion: A survey . International Journal of Computer Vision , 130 ( 8 ), 1978 - 2005 . Search in Google Scholar

Du, Y., Xie, R., Zhang, B., & Yin, Z. (2024). FMCF: Few-shot multimodal aspect-based sentiment analysis framework based on contrastive finetuning. Applied Intelligence, 54(24), 12629-12643. Du Y. Xie R. Zhang B. Yin Z. ( 2024 ). FMCF: Few-shot multimodal aspect-based sentiment analysis framework based on contrastive finetuning . Applied Intelligence , 54 ( 24 ), 12629 - 12643 . Search in Google Scholar

Zhang, Q., Shi, L., Liu, P., Zhu, Z., & Xu, L. (2022). Retracted article: ICDN: Integrating consistency and difference networks by transformer for multimodal sentiment analysis. Applied Intelligence, 53(12), 16332-16345. Zhang Q. Shi L. Liu P. Zhu Z. Xu L. ( 2022 ). Retracted article: ICDN: Integrating consistency and difference networks by transformer for multimodal sentiment analysis . Applied Intelligence , 53 ( 12 ), 16332 - 16345 . Search in Google Scholar

Zhong, J. I., Chen, K., Yuqing, H. E., Pang, Y., & Xuelong, L. I. (2022). Heterogeneous memory enhanced graph reasoning network for cross-modal retrieval. Science China Information Sciences, 65(7), 1-13. Zhong J. I. Chen K. Yuqing H. E. Pang Y. Xuelong L. I. ( 2022 ). Heterogeneous memory enhanced graph reasoning network for cross-modal retrieval . Science China Information Sciences , 65 ( 7 ), 1 - 13 . Search in Google Scholar

Best, W., Hughes, L., Masterson, J., Thomas, M. S. C., & Shobbrook, K. (2021). Understanding differing outcomes from semantic and phonological interventions with children with word-finding difficulties: A group and case series study. Cortex, 134(3), 145-161. Best W. Hughes L. Masterson J. Thomas M. S. C. Shobbrook K. ( 2021 ). Understanding differing outcomes from semantic and phonological interventions with children with word-finding difficulties: A group and case series study . Cortex , 134 ( 3 ), 145 - 161 . Search in Google Scholar

Behley, J., Garbade, M., Milioto, A., Quenzel, J., Behnke, S., & Jürgen Gall, et al. (2021). Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI dataset. The International Journal of Robotics Research, 40(8-9), 959-967. Behley J. Garbade M. Milioto A. Quenzel J. Behnke S. Jürgen Gall ( 2021 ). Towards 3D LiDAR-based semantic scene understanding of 3D point cloud sequences: The SemanticKITTI dataset . The International Journal of Robotics Research , 40 ( 8-9 ), 959 - 967 . Search in Google Scholar

Dar, S., Liebenthal, E., Pan, H., Smith, T., & Stern, E. (2021). Abnormal semantic processing of threat words associated with excitement and hostility symptoms in schizophrenia. Schizophrenia Research, 228(6684), 394-402. Dar S. Liebenthal E. Pan H. Smith T. Stern E. ( 2021 ). Abnormal semantic processing of threat words associated with excitement and hostility symptoms in schizophrenia . Schizophrenia Research , 228 ( 6684 ), 394 - 402 . Search in Google Scholar

Vo, A. D., Nguyen, Q. P., & Ock, C. Y. (2020). Semantic and syntactic analysis in learning representation based on a sentiment analysis model. Applied Intelligence, 50(3), 663-680. Vo A. D. Nguyen Q. P. Ock C. Y. ( 2020 ). Semantic and syntactic analysis in learning representation based on a sentiment analysis model . Applied Intelligence , 50 ( 3 ), 663 - 680 . Search in Google Scholar

Xu, M., Zhong, Y., & Liu, S. Y. (2023). Multi-scale multi-temporal landscape pattern analysis using high spatial urban scene classification. International Journal of Remote Sensing, 44(23-24), 7570-7597. Xu M. Zhong Y. Liu S. Y. ( 2023 ). Multi-scale multi-temporal landscape pattern analysis using high spatial urban scene classification . International Journal of Remote Sensing , 44 ( 23-24 ), 7570 - 7597 . Search in Google Scholar

Cowen, A. S., & Keltner, D. (2021). Semantic space theory: A computational approach to emotion. Trends in Cognitive Sciences, 25(2), 124-136. Cowen A. S. Keltner D. ( 2021 ). Semantic space theory: A computational approach to emotion . Trends in Cognitive Sciences , 25 ( 2 ), 124 - 136 . Search in Google Scholar

Dai, D., Sakaridis, C., Hecker, S., & Gool, L. V. (2020). Curriculum model adaptation with synthetic and real data for semantic foggy scene understanding. International Journal of Computer Vision, 128(5), 1182-1204. Dai D. Sakaridis C. Hecker S. Gool L. V. ( 2020 ). Curriculum model adaptation with synthetic and real data for semantic foggy scene understanding . International Journal of Computer Vision , 128 ( 5 ), 1182 - 1204 . Search in Google Scholar

Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
1 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere