SENTIMENT-BASED EVALUATION OF EMOTIONAL EXPERIENCE IN UX: A CASE STUDY ON DUOLINGO USER FEEDBACK

Diyorbek Yusufjonov

SENTIMENT-BASED EVALUATION OF EMOTIONAL EXPERIENCE IN UX: A CASE STUDY ON DUOLINGO USER FEEDBACK

Авторы

Diyorbek Yusufjonov

Ключевые слова:

user experience (UX); sentiment analysis; emotion analysis; gamification; mobile learning; HCI; NLP

Аннотация

This study presents the SEE-UX (Sentiment–Emotion Evaluation for UX) framework, designed to evaluate
emotional user experience through large-scale sentiment and emotion analysis of app reviews. Applied to 9,742 Duolingo
mobile app reviews, the framework integrates lexicon-based sentiment analysis (VADER + TextBlob), transformer-based
classification (DistilBERT), NRC Emotion Lexicon categorization, and UX component mapping. Approximately 76% of
reviews expressed positive sentiment. Gamification features (streaks) consistently elicited joy and trust, while the hearts/
lives system and monetization features triggered anger and frustration. Results confirm that large-scale sentiment analysis
can provide actionable, emotionally-grounded insights for user-centered design in mobile learning applications.

Биография автора

Diyorbek Yusufjonov

Junior Lecturer, Department of Management and Marketing,
Tashkent University of Information Technologies

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SENTIMENT-BASED EVALUATION OF EMOTIONAL EXPERIENCE IN UX: A CASE STUDY ON DUOLINGO USER FEEDBACK