Time-Based Sentiment Analysis for Product Features

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Solution Overview

Problem

Businesses face challenges in obtaining rapid and accurate customer feedback on specific product features, as traditional survey methods are expensive and time-consuming, and existing methods fail to provide timely insights into changing customer sentiment across various communication platforms.

Innovation Solution

A system and method for performing time-based sentiment analysis on user-generated content, using a sentiment analysis engine that converts diverse communications into text, annotates features and sentiment, and generates reports on sentiment values over time, enabling businesses to monitor changes in customer satisfaction for specific product features.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional survey methods are used to gauge customer sentiment, then measurement precision is improved, but loss of time and loss of energy increase

Engineering Contradiction:

Improvecustomer sentiment measurementVSAvoidtime for survey implementation

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces traditional mechanical survey systems with automated text analytics and sentiment analysis systems that process user-generated content from multiple sources. The system uses natural language processing to extract sentiment data automatically, eliminating the need for manual survey deployment and analysis while maintaining measurement precision.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service sentiment monitoring by automatically collecting, processing, and analyzing customer feedback from various platforms without requiring manual intervention. The analytics engine autonomously processes text data, identifies sentiment patterns, and generates insights, allowing businesses to monitor customer sentiment continuously without survey overhead.

Inventive Principle:

Principle #25Self-service

2Measurement precision

If traditional survey methods are used to gauge customer sentiment, then measurement precision is improved, but use of energy increases

Engineering Contradiction:

Improvecustomer sentiment measurementVSAvoidenergy for survey implementation

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent replaces energy-intensive traditional survey operations with computational text analytics that process information electronically from existing digital sources. The system leverages automated NLP algorithms and sentiment analysis models that consume significantly less energy compared to manual survey deployment, data collection, and analysis processes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If existing sentiment analysis methods are used, then productivity is improved, but device complexity increases

Engineering Contradiction:

Improvesentiment analysis speedVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system achieves multi-functionality by processing various types of user-generated content (text, audio, video) across multiple platforms through a unified sentiment analysis engine. The system performs diverse tasks including sentiment detection, feature identification, and time-based trend analysis within a single integrated platform, improving productivity without proportionally increasing complexity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces an intermediary text analytics layer that converts diverse communication formats into standardized text data for processing. This intermediary conversion layer simplifies the complexity by providing a uniform input format for sentiment analysis algorithms, enabling efficient processing of multi-platform data without requiring platform-specific analysis mechanisms.

Inventive Principle:

Principle #24Intermediary (Mediator)

4Speed

If real-time communication monitoring is implemented, then speed is improved, but device complexity increases

Engineering Contradiction:

Improvecustomer feedback response speedVSAvoidmonitoring system complexity

Core Design Contradiction:

SpeedVSDevice complexity

Solution Approach 1:

The system implements continuous real-time monitoring of user-generated content across multiple platforms, continuously processing new feedback as it is generated. This continuous operation enables immediate detection of sentiment changes and rapid response to customer issues without requiring complex intermittent sampling or batch processing systems.

Inventive Principle:

Principle #20Continuity of useful action

Data Source

PatentUS9177554B2Time-based sentiment analysis for product and service features

Publication Date: 2015.11.03 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

Provided are a method, computer program product and system for reporting time-based sentiment for a product. Text analysis is performed on at least one communication. At least one feature for the product is determined based on the text analysis. A sentiment value is generated for the at least one feature for the product. A date associated with the sentiment value is determined, and the sentiment value is reported for at least one feature over time.