Sentiment-Based Tokenization for Secure Data Deployment

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Solution Overview

Problem

Current techniques for associating social connections with sentiment information lack a system that can collect and interpret necessary information without limitations, while respecting privacy and intellectual property rights, and centralizing data storage poses risks of data and ID theft.

Innovation Solution

A distributed ledger system is created to track sentiment-related content, allowing users to register their social forums and reviews, and generating tokenized digital assets based on sentiment expressions, which can be monetized on a blockchain infrastructure.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If a centralized data storage system is used to collect and interpret sentiment information, then the system can effectively monitor and analyze sentiment communities, but it increases the risk of data theft and compromises user privacy

Engineering Contradiction:

Improvesentiment monitoring capabilityVSAvoiddata theft risk

Core Design Contradiction:

ProductivityVSObject-affected harmful factors

Solution Approach 1:

The patent segments the centralized sentiment data storage system into distributed autonomous nodes (wallets) across a blockchain network. Each node independently stores and processes sentiment data related to specific social connections, eliminating the single point of failure and reducing centralized data theft risks while maintaining collective monitoring capability.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces blockchain technology as an intermediary layer between users and sentiment data storage. The blockchain ledger acts as a decentralized mediator that records sentiment information immutably without requiring a central authority, thereby protecting user privacy while enabling transparent sentiment analysis.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If sentiment data is collected without limitations to improve analysis accuracy, then the system can better interpret sentiment communities, but it violates user privacy and intellectual property rights

Engineering Contradiction:

Improvesentiment analysis accuracyVSAvoidprivacy protection

Core Design Contradiction:

Measurement precisionVSReliability

Solution Approach 1:

The patent implements local quality by allowing each user's wallet to store and process only the sentiment data related to their specific social connections. This decentralized approach enables accurate sentiment analysis for each user's network while respecting individual privacy boundaries and intellectual property rights over their social graph data.

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The patent applies preliminary action by obtaining user consent and authorization before collecting any sentiment data. Users pre-configure their social connection permissions and sentiment data sharing preferences, ensuring that data collection occurs only with explicit user approval, thus maintaining both accuracy and privacy.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12333580B2Method and system of sentiment-based tokenization and secure deployment thereof

Publication Date: 2025.06.17 HIWAVE TECH INC

AI summary

Method and system of generating and deploying a tokenized digital asset. The method includes monitoring generation of a sentiment expression in accordance with social media content data, the sentiment expression rendered in association with a sentiment community of interest, generating a sentiment block digital asset in accordance with the sentiment expression and rendering, as a tokenized digital asset, a digital token data file that is a unique representation of the sentiment block digital asset.