Enhancing Auto Service Analytics: Automated Classification of Technician comments using text mining and Machine Learning
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V6I4P122Keywords:
Text Mining, Singular Value Decomposition, Unstructured Data, Machine Learning, Multinomial ModelsAbstract
The ability to accurately classify service types from technician comments is a critical challenge for many automotive original equipment manufacturers (OEMs) that lack standardized opcode systems. Existing rule-based methods, while precise, leave numerous observations unlabeled due to variability in textual descriptions. This study proposes a novel approach that combines text mining techniques with a multinomial classification model to automate service type classification. By leveraging structured and unstructured data, this method achieves a significant improvement in classification accuracy, laying the groundwork for enhanced analytics and predictive modeling in automotive service data
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