Ananya Pandey

Papers

Total Citations

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About

Ananya Pandey is a rising researcher in the rapidly evolving field of multimodal artificial intelligence, with a primary focus on sentiment analysis and human-computer interaction. Her work bridges natural language processing and computer vision, particularly through innovative approaches to aspect-based multimodal sentiment analysis. Pandey’s most notable contribution is the development of a visual-to-emotional-caption translation network that leverages visual-caption pairs to extract nuanced emotional signals from both text and images. This method enhances the ability of AI systems to understand complex human sentiments in social media, e-commerce, and user-generated content. While her research is still in its early stages, with her most-cited paper from 2025 already attracting attention, Pandey’s work demonstrates significant potential for advancing how machines interpret emotional context in multimodal data. Her approach stands out for its integration of visual and textual cues to capture fine-grained sentiment aspects, a challenge that has long eluded traditional unimodal systems. As her citation count grows, Pandey is poised to become a key voice in the next generation of affective computing and multimodal learning, offering practical tools for more empathetic and context-aware AI applications.