Sentiment Analysis System with Stratified Sampling and Demographic Targeting

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Solution Overview

Problem

Existing marketing research and website analytics techniques fail to effectively overlap, with marketing research struggling to apply knowledge of brand satisfaction to freely available internet data, and website analytics not quantifying key measures such as sampling, categorization, and actionability.

Innovation Solution

A data processing system that incorporates a sampling engine for stratified random sampling, a demographic boosting system to target internet websites, and a construct engine to process and score sentiments based on marketing mix measures, integrating data from multiple sources including surveys and website analytics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional survey methods are used to collect consumer data, then data collection reliability is maintained, but response rates have declined drastically and the process is time-consuming

Engineering Contradiction:

Improvedata collection reliabilityVSAvoidresponse rate

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The patent uses web crawlers as intermediaries to automatically collect consumer data from websites and social media platforms. These crawlers navigate the internet, extract relevant information about consumer sentiments and behaviors, and transfer it to the analysis system, eliminating the need for direct consumer survey responses while maintaining data reliability

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the mechanical survey process (sending surveys, waiting for responses, manually analyzing data) with an automated digital system that uses web crawlers, natural language processing algorithms, and computational analytics to collect, extract, and analyze consumer data from online sources

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If website analytics techniques are used to monitor online traffic, then data collection speed increases, but key marketing research measures such as sampling and categorization are not quantified

Engineering Contradiction:

Improvedata collection speedVSAvoidquantification of marketing measures

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent segments the data analysis process into distinct functional modules: a web crawler for data collection, a natural language processing module for sentiment extraction, a categorization module for organizing data into marketing research constructs, and a quantification module that applies sampling and statistical analysis. This segmentation allows each component to specialize in one function while working together to provide comprehensive marketing research measures

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent transforms unstructured website analytics data into structured marketing research data by changing parameters through natural language processing and categorization algorithms. The system maps online behavior data to standardized marketing constructs such as brand awareness, customer satisfaction, and purchase intent, enabling precise quantification of traditional marketing measures from digital sources

Inventive Principle:

Principle #35Parameter changes

3Loss of information

If marketing research companies analyze brand satisfaction data, then actionable insights are generated, but the analysis of freely available internet data remains ineffective

Engineering Contradiction:

Improveactionable insightsVSAvoidapplication to internet data

Core Design Contradiction:

Loss of informationVSAdaptability or versatility

Solution Approach 1:

The patent creates a universal data processing system that can handle multiple types of internet data sources (websites, social media, forums) and transform them into standardized marketing research constructs. The same core algorithms and processing pipeline work across different data sources, making the system versatile for analyzing any online consumer data while generating consistent actionable insights

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS8694357B2Online marketing research utilizing sentiment analysis and tunable demographics analysis

Publication Date: 2014.04.08 RESEARCH NOW GROUP LLC

AI summary

An online marketing research system where users identify a specific brand and/or competitive brands in which they are interested. An internet crawler engine collects sentiments relating to the identified brands according to a sampling method, which may be created by the user. The results from the internet crawler are refined using a refinement engine. The refined sentiments are then scored by a sentiment engine. Users may view the scored results via a user interface, which itself includes an interactive sentiment modeler. The interactive sentiment modeler provides quantified insights and allows users to select types of charts, the constructs, and timelines that are important to them.