Automated Feedback Mining for Software Globalization
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Solution Overview
Problem
Software products face challenges in efficiently and accurately identifying and addressing region-specific technical issues due to variations in usage patterns and languages across different geographic regions, leading to difficulties in analyzing customer feedback from diverse linguistic and cultural backgrounds.
Innovation Solution
A data processing system employing data analytics techniques, including neural networks and keyword mining, to analyze customer feedback from heterogeneous sources, categorize issues by language, and generate dashboards for identifying and mitigating technical problems, thereby improving software globalization maturity and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data from multiple heterogeneous sources in different languages is analyzed manually, then accuracy in identifying region-specific issues can be improved, but the time and resources required for analysis increase significantly
Solution Approach 1:
The patent introduces an automated data mining system with neural networks and keyword pattern matching as an intermediary between heterogeneous feedback sources and analysis outcomes. This intermediary automatically processes multi-language feedback data, extracting region-specific issues without manual intervention, thereby maintaining high accuracy while dramatically reducing analysis time
Solution Approach 2:
The patent replaces manual mechanical analysis processes with automated computational systems. Neural networks and algorithmic keyword pattern matching substitute human analysts, enabling rapid processing of large volumes of multi-language feedback data while preserving the ability to accurately identify region-specific technical problems
2Reliability
If comprehensive feedback from all geographic regions is collected and analyzed, then the quality and globalization maturity of the software product can be improved, but the complexity of managing and analyzing diverse linguistic data increases
Solution Approach 1:
The patent segments the complex task of analyzing diverse linguistic feedback into distinct computational components: language detection modules, keyword extraction systems, pattern matching algorithms, and region-specific issue classification. This segmentation reduces overall complexity by breaking down the heterogeneous data analysis into manageable, specialized processing stages
Solution Approach 2:
The patent changes the parameters of data processing by transforming unstructured multi-language feedback into standardized structured data with extracted keywords, identified patterns, and classified issues. This parameter transformation simplifies subsequent analysis by converting diverse linguistic inputs into a uniform format that can be systematically processed
Data Source
AI summary
Data analytics techniques can improve international software product quality and user experience. The system uses data mining to identify and assess region-specific issues in a software product. The system uses predetermined keywords, patterns and neural networks to mine customer feedback from heterogeneous data sources in order to accurately and efficiently identify and assess technical problems in a software product. The system, upon mining the data sources to determine the usage patterns and expectations that led to the identified technical problems, can facilitate the development of a software update or patch for the software product that can solve or mitigate the identified technical problem, resulting in the software product having improved globalization maturity and international user experience.