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Marketing Science

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Research Frontiers in Sentiment Analysis and Natural Language Processing

Application of deep learning NLP techniques to analyze consumer sentiment, emotion, and intent from unstructured text across social media and reviews.

Emotional Contagion in Digital Brand Communities

Sarcasm and Irony Detection Across Cultural Contexts

Sentiment Shift Dynamics in Real-Time Consumer Discourse

Implicit Brand Perception Beyond Explicit Sentiment Signals

Multimodal Emotion Recognition in Video Commerce

Semantic Drift and Brand Meaning Evolution Online

Affective Polarization in Social Media Marketing Networks

Subjectivity Quantification in User-Generated Product Reviews

Temporal Sentiment Trajectories Predicting Purchase Intent

Linguistic Markers of Consumer Authenticity and Trust

All Marketing Science PhD categories