AI-BASED MULTILINGUAL COMPLAINT ANALYSIS AND EMOTION-AWARE PRIORITY PREDICTION SYSTEM
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A web-based program called the Complaint Management System was created to effectively handle and examine consumer complaints. Users can file complaints online through the system, and Natural Language Processing (NLP) methods are used to process them. Complaints are categorized using a transformer-based paradigm into groups like delivery, payment, and service problems. In order to prioritize significant complaints, it also uses sentiment analysis and urgency prediction. The system creates automated reports in Excel formats and safely archives complaint data. An administrator dashboard aids in tracking the operation of the system as a whole and complaint trends. Better customer satisfaction results from this project's improved reaction time and decreased manual labor.
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Kabila, T. (2026). AI-Based Multilingual Complaint Analysis and Emotion-Aware Priority Prediction System. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.224
Kabila, T.. "AI-Based Multilingual Complaint Analysis and Emotion-Aware Priority Prediction System." International Journal of Science, Strategic Management and Technology, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.224.
Kabila, T.. "AI-Based Multilingual Complaint Analysis and Emotion-Aware Priority Prediction System." International Journal of Science, Strategic Management and Technology 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.224.
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