EMOTION-CENTRIC VISUAL ADVERTISING DESIGN USING AI-BASED SENTIMENT INTERPRETATION IN MULTILINGUAL DIGITAL SPACES

Authors

  • R. Raghavan Assistant Professor, School of Management and School of Advertising, PR and Events, AAFT University of Media and Arts, Raipur, Chhattisgarh-492001, India
  • Praveen Kumar Tomar Professor, School of Business Management, Noida International University, Noida, Uttar Pradesh, India
  • Yogita Avinash Raut Assistant Professor, Department of DESH, Vishwakarma Institute of Technology, Pune, Maharashtra-411037, India
  • Anchal Singh Department of Computer Science and Engineering, CT University, Ludhiana, Punjab, India
  • Prof. Vinit Khetani Chief Technology Officer, Researcher Connect Innovations and Impact Private Limited, India
  • Dr. Ramchandra Vasant Mahadik Associate Professor, Bharati Vidyapeeth (Deemed to be University), Institute of Management and Entrepreneurship Development, Pune-411038, Maharashtra, India

DOI:

https://doi.org/10.29121/shodhkosh.v6.i5s.2025.6958

Keywords:

Emotion Intelligence in Advertising, Artificial Intelligence Sentiment Analysis, Visual Design Intelligence, Multilingual Digital Media

Abstract [English]

The study suggests a visual advertising design focused on the emotions grounds, with the multilingual digital environment relying on the interpretation of sentiments with the help of AI. Modern advertising is practiced between culturally varied audiences in which emotional connection and language sensitivity matters most in engagement and brand recognition, but design choices can be made intuitively. This research aims to constructively conceptualize emotion of audiences and turn it into forms of adaptive visual designs strategies. The presented idea combines the multilingual sentiment analysis based on natural language processing, visual feature extractor, and sentiment-design aligner utilizing multimodals. Commentary, caption and review text cues are examined to profoundly estimate affective condition in cross lingual reviews, whereas visual modules scrutinize color psychology, composition, imagery semantics and typing tone. These representations are combined to make emotion-consistent design suggestions and platform optimized dynamic creatives. Multilingual advertising Multilingual advertisement conduction experimental assessments show increased emotional coincidence and reception with an enhancement of up to 19 percent precision in engagement prediction and 16 percent increase in sentiment design adjustment than rules techniques. Elucidatable attention processes point out powerful emotional indicators and design features as well as facilitate clarity among designers and marketers. The results show that AI-based sentiment interpretation will help to improve personalization, cross-cultural sensitivity, and creative performance in online advertisement. The suggested framework provides an extensible instrument of emotion-aware visual communication, as it allows brands to create ethically reactive, culturally adaptive, and emotionally receptive advertising experiences within global digital ecosystem, and it establishes innovation and provable value to various stakeholders on a global scale.

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Published

2025-12-28

How to Cite

R. Raghavan, Tomar, P. K., Raut, Y. A., Singh, A., Khetani, V., & Mahadik, R. V. (2025). EMOTION-CENTRIC VISUAL ADVERTISING DESIGN USING AI-BASED SENTIMENT INTERPRETATION IN MULTILINGUAL DIGITAL SPACES. ShodhKosh: Journal of Visual and Performing Arts, 6(5s), 708–718. https://doi.org/10.29121/shodhkosh.v6.i5s.2025.6958