Web Data Attitude Analysis System
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Solution Overview
Problem
Existing methods for measuring public attitudes are limited by reliance on representative samples and lack of comprehensive behavioral data, failing to account for word-of-mouth dissemination, especially in the context of online communication platforms.
Innovation Solution
An apparatus and method for analyzing public attitudes expressed on websites, utilizing a crawler to collect attitude data from pre-selected web sites, processing it using content analysis and data mining techniques, and outputting attitude information through graphical tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional polling methods are used to measure public attitudes, then the measurement process is simple and quick, but the data lacks comprehensiveness and reliability due to sampling limitations
Solution Approach 1:
The patent transitions from traditional sampling-based measurement to web-based data collection, adding the dimension of online communication platforms to the measurement process. This allows capturing authentic public attitudes from actual online interactions rather than relying on representative samples, thereby improving measurement accuracy while accessing large volumes of data.
Solution Approach 2:
The system collects and analyzes copies of public expressions from web sites, forums, and online platforms. By capturing authentic user-generated content rather than relying on self-reported survey data, the system obtains more reliable and comprehensive attitude data without the limitations of traditional sampling methods.
2Quantity of substance
If comprehensive behavioral data is collected from all consumers, then the data completeness improves, but the difficulty of capturing and processing the data increases significantly
Solution Approach 1:
The system leverages publicly available web content that users voluntarily post online. Consumers self-generate the attitude data through their natural online communications, eliminating the need for complex data capture infrastructure. The system simply collects and processes this self-generated data from existing online platforms.
Solution Approach 2:
The system processes multiple types of web content (forums, reviews, social media posts, news articles) through a unified data collection and analysis framework. This multi-functional approach allows comprehensive data gathering from diverse online sources without requiring separate systems for each data type, managing complexity while maintaining completeness.
3Ease of operation
If incentive-based methods are used to collect consumer data, then the data collection process is straightforward, but the results become biased and less reliable
Solution Approach 1:
The system captures authentic copies of consumer expressions as they naturally occur online, without intervention or incentive structures. By analyzing actual user-generated content from web sites and platforms, the system obtains unbiased attitude data while maintaining operational simplicity through automated web scraping and analysis.
4Quantity of substance
If online web data is harvested and analyzed, then comprehensive public attitude data can be obtained, but the complexity of processing and analyzing the data increases
Solution Approach 1:
The system segments the data processing into distinct modules: data collection from multiple web sources, data cleaning and validation, attitude extraction and classification, and analysis output. This segmented approach manages the complexity of processing large volumes of web data by breaking it into manageable, specialized processing stages.
Data Source
AI summary
An apparatus for providing an analysis of attitudes expressed in web content, comprising: a collector for collecting attitude-data in relation to a predetermined subject from one or more pre-selected web site, the attitude-data containing attitudes in relation to the predetermined subject; a processor, associated with the collector, for processing the attitude data so as to generate an attitude analysis; and an outputter, associated with the processor, for outputting the attitude analysis, thereby to provide an indication of attitudes being expressed in the web content in relation to the predetermined subject.