Text Mining System for Vehicle Quality Analysis
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Solution Overview
Problem
Automakers face challenges in identifying core customer complaints related to vehicle quality issues due to detailed information being stored in non-standardized text formats, making it cumbersome for engineers to review and analyze claim data from files like Excel.
Innovation Solution
A method and apparatus using text mining algorithms to preprocess and analyze claim data, extract onomatopoeias and morphemes, label relevant keywords, and update reference data to determine vehicle quality, thereby simplifying the identification of customer complaints and improving analysis accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If detailed information of quality problems is stored in non-standardized text format (handwriting files or manually prepared Excel files), then the information can be stored flexibly, but it becomes inconvenient for engineers to identify customer complaints by individually reviewing the files
Solution Approach 1:
The patent replaces the manual mechanical process of individually reviewing Excel files with an automated electronic text mining system. The system uses natural language processing algorithms to automatically extract and analyze customer complaints from unstructured text data, eliminating the need for engineers to manually search through files while maintaining the flexibility of text-based storage.
2Measurement precision
If engineers individually review files such as Excel files to identify customer complaints, then detailed analysis can be performed, but it requires significant manual effort and time
Solution Approach 1:
The patent implements a self-service system where the text mining algorithm automatically performs the analysis work that would otherwise require manual engineering review. The system extracts keywords, identifies patterns, and generates complaint summaries autonomously, maintaining detailed analysis capabilities while eliminating the time-consuming manual review process.
3Device complexity
If claim data is analyzed using traditional methods, then the process is simple, but the accuracy of identifying vehicle quality issues is reduced
Solution Approach 1:
The patent changes the parameters of the analysis process by introducing multiple text mining algorithms with different processing approaches. The system uses keyword extraction, pattern recognition, and semantic analysis with configurable parameters to adjust the balance between process complexity and identification accuracy, achieving higher precision while managing computational complexity.
Data Source
AI summary
A method and apparatus for determining a quality of a vehicle using text mining may perform operations including performing, by an electronic apparatus, pre-processing on input data including text, performing, by the electronic apparatus, text mining on the pre-processed input data, labeling, by the electronic apparatus, at least one onomatopoeia or at least one morpheme extracted from the pre-processed input data according to the performing of the text mining, and determining, by the electronic apparatus, a quality of the vehicle based on the labeling.