Text Mining System for Customer Feedback Issue Detection
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Solution Overview
Problem
The sheer volume and lack of structure in natural language text data from customer feedback pose challenges in extracting insights and responding to emerging issues in a timely manner, as current methods are costly and inefficient for analyzing unstructured data.
Innovation Solution
A method for identifying emerging issues from textual customer feedback involves receiving a message stream, establishing reference and trend volumes, and initiating actions based on volumetric changes or frequency changes of key terms, using a human-trained text categorization engine to automatically process and categorize data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual methods are used to analyze unstructured text data, then measurement precision may be maintained, but productivity deteriorates due to the sheer volume and lack of structure in customer feedback
Solution Approach 1:
The patent replaces manual mechanical analysis of text data with an automated computer-based system that uses text mining and data mining techniques. The system automatically processes unstructured customer feedback, extracts issues, and generates reports, eliminating the need for manual reading and analysis while maintaining detection accuracy through algorithmic pattern recognition.
2Reliability
If current methods are used to target large numbers of messages to appropriate parties, then reliability may be maintained, but productivity deteriorates due to the cost and time involved
Solution Approach 1:
The patent replaces manual message routing with an automated system that uses text mining to identify issues and algorithms to determine appropriate routing. The system automatically categorizes feedback, identifies responsible parties or departments, and distributes messages accordingly, maintaining reliable routing through structured classification while dramatically increasing distribution speed.
3Measurement precision
If manual monitoring is used to detect emerging issues, then measurement precision may be maintained, but loss of time increases as issues require speedy response
Solution Approach 1:
The patent implements preliminary action by continuously and automatically monitoring incoming customer feedback in real-time. The system proactively detects emerging issues as they appear, before they escalate, by analyzing patterns and trends in the data stream. This allows organizations to respond to issues immediately upon detection, eliminating the time loss associated with manual periodic review.
4Productivity
If automated text analysis systems are implemented, then productivity improves through faster processing, but device complexity increases due to the need for advanced text mining and data mining capabilities
Solution Approach 1:
The patent implements a multi-functional system that combines text mining, data mining, pattern recognition, and automated routing capabilities within a single integrated platform. The system performs multiple functions including issue detection, categorization, prioritization, and message distribution, reducing overall system complexity by consolidating functions rather than using separate specialized systems for each task.
Data Source
AI summary
Systems, methods and software products identify emerging issues from textual customer feedback. A message stream of customer feedback is received. The message stream includes a plurality of unstructured text messages from at least one homogeneous source. A time interval is established. The volume of text messages for the time interval is determined to establish a reference volume. The volume of text messages in subsequent time intervals is measured to establish a trend volume. The trend volume is compared to the reference volume to determine a volumetric change. At least one action is initiated in response to a volumetric change above a pre-determined threshold. At least one action is initiated in response to a volumetric change below a pre-determined threshold.