Citation :

C. Balakrishnan, J. Ramkumar, R. Karthikeyan, "Emotion Journey-Aware Vader (EJ-VADER) Approach for Optimized Sentiment Interpretation in Consumer Behaviour Studies," International Journal of Engineering Trends and Technology (IJETT), vol. 74, no. 6, pp. 328-342, 2026. Crossref, https://doi.org/10.14445/22315381/IJETT-V74I6P123

Abstract

Emotion-journey consistent expansion of lexicon-based sentiment analysis that could be used to interpret consumer behaviour in the business setting. The consumer-generated text embodies signals of emotion, and their meaning in behavioural terms also changes at different levels of decision making, and interpretation of sentiment at rest cannot be adequate. The proposed approach combines customer journey awareness and sentiment intensity modelling in order to raise the degree of behavioural relevance without compromise in interpretability. EJ-Vader is an extension of Valence Aware Dictionary and Sentiment Reasoner (VADER), which presents journey-aware intensity scaling, transaction-stage negative prioritization, retention-stage positive reinforcement, dynamic threshold calibration, and attribute-level sentiment alignment. These elements allow sentiment indicators to indicate the decision sensitivity, which is associated with evaluation, transaction, and after-sales interaction. Behavioural signal mapping also links optimized sentiment intensity to business analysis, such as risk inclination, formation of loyalty, and advocacy preparation. Validation is designed based on congruence with observable commerce results, as practical. The framework presents a behaviour-focused, scalable, and transparent sentiment analysis framework applicable to consumer analytics, decision support, and commerce-based research applications.

Keywords

Sentiment Analysis, Consumer Behaviour, Emotion-Journey, Lexicon-Based Intensity, VADER Optimization, Commerce Analytics.

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