Education, Science, Technology, Innovation and Life
Open Access
Sign In

An analysis of the image-text relationship in English advertising from the perspective of systemic functional linguistics

Download as PDF

DOI: 10.23977/langl.2024.070321 | Downloads: 2 | Views: 93

Author(s)

Xiaohong Ji 1, Xiaoming Hu 1, Tongtong Shao 1

Affiliation(s)

1 Cangzhou Jiaotong College, Cangzhou, 061000, China

Corresponding Author

Xiaohong Ji

ABSTRACT

From the perspective of systemic functional linguistics, this paper makes an in-depth multimodal discourse analysis of English advertising using the CNN network as a framework. By taking 100 English print advertisements randomly selected as the research object, this paper reveals the important role of image-text relationship in English advertisement. The results show that in English advertising, images and words complement each other and build meaning together. However, images in most cases are still subordinate to words, which are still the dominant means of expressing meaning. The status relationship of text and text is mainly manifested as interdependence and subordination of image to text. The logical semantic relation covers extension and projection, in which extension is mainly extended and detailed. This study not only enriches the application field of multimodal discourse analysis, verifies the practicability of relevant theories, but also provides some feasible suggestions for advertising design.

KEYWORDS

CNN network; English advertising; Multimodal discourse; System function Linguistic perspective

CITE THIS PAPER

Xiaohong Ji, Xiaoming Hu, Tongtong Shao, An analysis of the image-text relationship in English advertising from the perspective of systemic functional linguistics. Lecture Notes on Language and Literature (2024) Vol. 7: 146-151. DOI: http://dx.doi.org/10.23977/langl.2024.070321.

REFERENCES

[1] Li Y, Mulder R, Johnson G. A Summary of the Istfa 2021 Panel Discussion: Overcoming the Challenges in System-In-Package Failure Analysis [J].Electronic Device Failure Analysis: A Resource for Technical Information and Industry Developments, 2022(1):24.
[2] Béjar V P. Macrosintaxis del discurso publicitario de compromiso social[J]. Cultura, Lenguaje y Representación, 2023, 31: 169-187.
[3] Mokshin S. The manipulation of the advertising discourse: rhetoric and stylistic aspects[J]. Propósitos y representaciones, 2021, 9(1): 60.
[4] Cheng M .Theoretical framework for ecological discourse analysis: A summary of New Developments of Ecological Discourse Analysis [J].Journal of World Languages, 2022, 8:188 - 226.
[5] Xing C, Feng D. Multimodal intertextuality and persuasion in advertising discourse[J]. Discourse & Communication, 2023, 17(5): 613-629.
[6] Inwood O, Zappavigna M .A Systemic Functional Linguistics Approach to Analyzing White Supremacist and Conspiratorial Discourse on YouTube [J].The communication review, 2022.
[7] Gravelin A C, Archer B, Oddo M,et al. Reliability of a Linguistic Segmentation Procedure Specified by Systemic Functional Linguistics to Examine Extemporaneous Speech[J].Journal of speech, language, and hearing research: JSLHR, 2023.
[8] Wahyuni R, Syamsi K .The Analysis of Critical Discourse Analysis in the Speeches of Nadiem Makariem and Muhadjir Effendy at Teacher's Day[J].International Journal of Linguistics, Literature and Translation, 2021. DOI:10.32996/ijllt.2021.4.6.29.
[9] Garzia D, Silva F F D .Negativity and Political Behavior: A Theoretical Framework for the Analysis of Negative Voting in Contemporary Democracies[J].Political Studies Review, 2022, 20(2):282-291. DOI: 10.1177/ 14789299211000187.
[10] Linjing C .A Study on the Theoretical Framework of Discourse Analysis of China's Response to Sino-US Trade Frictions: [J].SAGE Open, 2022, 12(1):176-182.
[11] Ribeiro L C F, Rosa G H, Rodrigues D, et al. Co nvolutional neural networks ensembles through single-iteration optimization [J]. Soft Computing, 2022, 26(8): 3871-3882.
[12] Navaux P O A. Hyperparameter Optimization for Convolutional Neural Networks with Genetic Algorithms and Bayesian Optimization[C]//2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI). IEEE, 2022: 1-5.
[13] Shi Y, Shi H .Construction of an Assessment System for Business English Linguistics Based on RNN Multidimensional Models[J].Mathematical Problems in Engineering, 2022, 2022.
[14] Liu K, Wünsche B C, Luxton-Reilly A. Relationship between spatial skills and performance in introductory computer graphics[C]//Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 1. 2022: 304-310.

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.