Social Media Location Inference via Keyword Analysis

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Solution Overview

Problem

Current geolocation social media platforms rely exclusively on explicit check-ins, missing out on valuable data from other forms of social media, which limits their ability to provide targeted marketing insights and efficient patron identification.

Innovation Solution

The system extracts and refines data from various social media platforms, including non-geolocation services, using keyword analysis and natural language processing to infer implicit check-ins, combining this data to provide location administrators with accurate patron information for targeted marketing campaigns.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If geolocation social media platforms rely exclusively on explicit check-ins, then the system simplicity is maintained, but the quantity of location data is insufficient

Engineering Contradiction:

Improvequantity of location dataVSAvoidsystem complexity

Core Design Contradiction:

Quantity of substanceVSDevice complexity

Solution Approach 1:

The patent combines data from multiple social media platforms (Facebook, Twitter, Instagram, Foursquare, Gowalla) and integrates explicit check-in data with implicit location data derived from media sharing, photo tagging, and keyword analysis. This merging of diverse data sources significantly increases the quantity of location data available for marketing purposes.

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The system performs preliminary processing of social media content by extracting keywords, analyzing media metadata, and inferring locations before marketing campaigns are executed. This preliminary action transforms raw social media data into structured location information that can be readily used for targeted marketing.

Inventive Principle:

Principle #10Preliminary action

2Quantity of substance

If only explicit check-in data is used, then data accuracy is high, but the quantity of social media data sources is limited

Engineering Contradiction:

Improvenumber of social media data sourcesVSAvoidlocation data accuracy

Core Design Contradiction:

Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent introduces an intermediary processing layer that analyzes social media content (keywords, media metadata, photo tags) to infer locations. This intermediary process bridges the gap between unstructured social media data and structured location information, enabling the system to accurately process data from diverse sources including non-geolocation platforms.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system is designed to handle multiple types of social media data uniformly - explicit check-ins, media sharing content, photo metadata, and text posts. This multi-functional approach allows the same system to process various data sources with different characteristics, increasing the number of usable social media data sources while maintaining consistent data quality.

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Productivity

If comprehensive social media data analysis is performed, then marketing efficiency is improved, but the difficulty of detecting and measuring location increases

Engineering Contradiction:

Improvemarketing efficiencyVSAvoidlocation detection difficulty

Core Design Contradiction:

ProductivityVSDifficulty of detecting and measuring

Solution Approach 1:

The patent replaces manual location detection methods with automated computational analysis of social media content. Natural language processing, keyword matching, and metadata extraction algorithms automatically infer locations from diverse social media sources, significantly reducing the difficulty of detecting and measuring location information while enabling comprehensive data analysis.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS9147202B1System and method of direct marketing based on explicit or implied association with location derived from social media content

Publication Date: 2015.09.29 ADSTRA INC

AI summary

A system and method delivers marketing messages based on location specific check-ins. This permits highly targeted communications directed at first entities such as persons, organizations, or businesses who are patrons of second entity locations which are typically businesses. Selection of first entities is based on detection of past or potential patronage of second entities through social media or other public digital content check-ins. Check-ins are analyzed to identify any second entity referred to and associating such reference to the author of the content. Second entities, such as a merchant or brand, may be explicitly determined from meta-data of source content, or implicitly through processing such as natural language analysis or association through a third entity. Second entities use such connections to deliver targeted marketing messages through a public social media profile of the first entity. Analytics may be used to track of check-in patterns and effectiveness of marketing campaigns.