Voice of the Customer Integration into Product Design Using Multilingual Sentiment Mining (2021)
Keywords:
Voice of Customer integration, Multilingual sentiment analysis techniques, Product design optimization methods, Natural Language Processing (NLP) applications, Customer feedback mining systems, Cross-culturalAbstract
In an increasingly globalized market, Voice of the Customer (VoC) programs are pivotal for companies striving to meet complex consumer expectations. Traditional VoC processes primarily relied on structured surveys, but the digital explosion has shifted the paradigm towards real-time, unstructured feedback from diverse linguistic backgrounds. This paper systematically reviews the convergence of multilingual sentiment mining and product design processes. Drawing from interdisciplinary literature, it develops a conceptual framework for integrating multilingual sentiment insights into product lifecycle management. The research emphasizes the critical role of Natural Language Processing (NLP) technologies in overcoming language barriers, accurately interpreting emotions, and enabling more culturally adaptive, consumer-centric innovations. Finally, challenges, ethical considerations, and future research directions are presented, highlighting how VoC programs can evolve in the era of AI-driven multilingual ecosystems.
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