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<p>This paper constructs a model of cultural identity by combining the analysis of multimodal discourse in the media fusion perspective and explores how to better construct cultural identity. Firstly, we construct a multimodal cultural identity model in the media convergence perspective from three modalities: text, image, and video combined with cultural identity, so that we can analyze people’s cultural identity through emotion. Secondly, multimodal cross-sectional comparison experiments and dissimilarity experiments are conducted based on two widely used public datasets in the field, CMU-MOSI and CMU-MOSEI. The best experimental results were obtained in the baseline model, where Acc-2 reached 84.8%, F1 value reached 84.5, and MAE of the regression task dropped to 0.548. In the robustness study, when the missing rate reached 44%, Acc-2 was only 65.2%, and the gap between the results and the dichotomous classification accuracy of 76.5% achieved by the model in this paper reached 11.3 percentage points. Finally, through affective analysis, cultural identity is the affirmative embodiment of what is most meaningful to the nation formed by people living together in a national community for a long time, and its core is the identification with the basic values of a nation, which is the spiritual bond that unites this national community.</p>
</abstract>

This paper constructs a model of cultural identity by combining the analysis of multimodal discourse in the media fusion perspective and explores how to better construct cultural identity. Firstly, we construct a multimodal cultural identity model in the media convergence perspective from three modalities: text, image, and video combined with cultural identity, so that we can analyze people’s cultural identity through emotion. Secondly, multimodal cross-sectional comparison experiments and dissimilarity experiments are conducted based on two widely used public datasets in the field, CMU-MOSI and CMU-MOSEI. The best experimental results were obtained in the baseline model, where Acc-2 reached 84.8%, F1 value reached 84.5, and MAE of the regression task dropped to 0.548. In the robustness study, when the missing rate reached 44%, Acc-2 was only 65.2%, and the gap between the results and the dichotomous classification accuracy of 76.5% achieved by the model in this paper reached 11.3 percentage points. Finally, through affective analysis, cultural identity is the affirmative embodiment of what is most meaningful to the nation formed by people living together in a national community for a long time, and its core is the identification with the basic values of a nation, which is the spiritual bond that unites this national community.

The Construction of Cultural Identity in Multimodal Discourse Analysis under the Perspective of Media Convergence

Huanghe Science and Technology University

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper constructs a model of cultural identity by combining the analysis of multimodal discourse in the media fusion perspective and explores how to better...

The Construction of Cultural Identity in Multimodal Discourse Analysis under the Perspective of Media Convergence

Publié en ligne: 04 oct. 2023

Pages: -

Reçu: 15 nov. 2022

Accepté: 14 avr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00478

Mots clés
Media convergence, Multimodal discourse, Comparison experiment, Dissolution experiment, Robustness

© 2023 Junfang Chang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

The Construction of Cultural Identity in Multimodal Discourse Analysis under the Perspective of Media Convergence

Publié en ligne: 04 oct. 2023

Pages: -

Reçu: 15 nov. 2022

Accepté: 14 avr. 2023

DOI: https://doi.org/10.2478/amns.2023.2.00478

Mots clésMedia convergence, Multimodal discourse, Comparison experiment, Dissolution experiment, Robustness

© 2023 Junfang Chang, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Media convergence, Multimodal discourse, Comparison experiment, Dissolution experiment, Robustness