Topic Bubble Visualization with Sentiment Pixels

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Solution Overview

Problem

Analyzing large volumes of user feedback data for sentiment analysis is complex, time-consuming, and prone to errors due to manual methods, which can lead to delayed identification of issues.

Innovation Solution

Automated visual analytics techniques are employed to identify and visualize issues in user feedback in real-time, using graphical representations of bubbles with pixels indicating sentiment, allowing for interactive visualization and dynamic updating based on new data records.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual analysis methods are used to analyze user feedback data, then analysis accuracy can be maintained through human judgment, but the analysis process becomes time-consuming and labor-intensive

Engineering Contradiction:

Improvesentiment analysis accuracyVSAvoidanalysis time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent segments the large volume of user feedback data into manageable units and processes them through automated visual analytics. The data is divided into individual feedback records that can be systematically analyzed, visualized, and processed in real-time, resolving the contradiction between maintaining accuracy and reducing time consumption.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent replaces manual mechanical analysis with automated visual analytics systems that use computational algorithms to perform sentiment analysis. This substitution maintains measurement precision through consistent algorithmic application while dramatically reducing the time and labor required for analyzing large volumes of user feedback.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If manual analysis methods are used, then detailed human judgment can be applied, but the process is prone to errors and delays in issue identification

Engineering Contradiction:

Improveanalysis consistencyVSAvoidissue identification speed

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent replaces manual analysis with automated visual analytics that eliminate human error and inconsistency. The system processes feedback data through standardized algorithms, ensuring reliable and consistent results while significantly improving productivity through automated real-time analysis and issue identification.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent implements real-time feedback mechanisms where the visual analytics system continuously monitors user feedback and immediately identifies issues as they arise. This feedback loop ensures consistent and reliable analysis while dramatically improving the speed of issue identification compared to manual methods.

Inventive Principle:

Principle #23Feedback

3Productivity

If automated visual analytics are used, then real-time analysis speed is improved, but the system complexity increases

Engineering Contradiction:

Improveanalysis throughputVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent implements a universal visual analytics platform that handles multiple types of user feedback data through a single integrated system. This multi-functional approach improves analysis throughput while managing system complexity by consolidating various analysis functions into one unified platform rather than requiring separate systems for each function.

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Quantity of substance

If large volumes of data are analyzed manually, then comprehensive coverage is achieved, but the process becomes difficult and time-consuming

Engineering Contradiction:

Improvedata volume coverageVSAvoidprocessing time

Core Design Contradiction:

Quantity of substanceVSLoss of time

Solution Approach 1:

The patent replaces manual data processing with automated visual analytics that can handle large volumes of user feedback data efficiently. The system maintains comprehensive coverage of all data records while dramatically reducing processing time through automated extraction, analysis, and visualization of sentiment information from numerous feedback sources.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS10614094B2Visualizing topics with bubbles including pixels

Publication Date: 2020.04.07 MICRO FOCUS LLC

AI summary

A technique for visualizing topics includes depicting topic bubbles including pixels. In one example, selected topics are identified from records based on scoring candidate terms in the records according to a user-specified metric and a metric selected from among frequencies of occurrence of records pertaining to the respective candidate terms, and negativity of sentiment expressed with respect to the candidate terms in the records. A visualization is generated including bubbles representing topics, the bubbles including pixels representing corresponding records. A bubble has a shape dependent upon a number of records and a time interval represented by the bubble. Visual indicators are assigned to the pixels in a given bubble according to values of an attribute expressed in the corresponding records for the topic represented by the given bubble, resulting in the analysis of the selected topics being less time consuming and labor intensive.