Social Media Facility Mapping Using Candidate Point Evaluation
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Solution Overview
Problem
Existing technologies struggle to acquire location information from non-standardized data sources such as social media posts, requiring users to manually search for facility locations, which is inconvenient.
Innovation Solution
An information processing device that extracts facility names from social media posts, evaluates candidate points based on a predetermined criterion, and displays their locations on a map, using evaluation scores for match and proximity to the user's current location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If location information is extracted from standardized data sources, then extraction accuracy is improved, but data source versatility deteriorates
Solution Approach 1:
The system changes the parameters of text analysis by adjusting extraction criteria, matching thresholds, and evaluation weights based on the data source type. For standardized sources, stricter criteria are applied for high accuracy, while for social media posts, more flexible criteria with lower thresholds enable extraction from unstructured text, thus adapting to different data sources while maintaining extraction capability
Solution Approach 2:
The extraction system dynamically adjusts its operation mode based on the input data source characteristics. It switches between precise extraction mode for standardized data and flexible extraction mode for social media data, allowing the system to optimize performance for each data type without compromising versatility
2Adaptability or versatility
If manual search is required for facility locations, then search flexibility is improved, but user convenience deteriorates
Solution Approach 1:
The system performs automatic location extraction and map display without requiring manual user search. It self-services by acquiring text from social media, extracting facility names automatically, evaluating candidate points, and displaying locations on a map, thereby eliminating the need for users to manually search while maintaining the flexibility of location-based information retrieval
3Measurement precision
If multiple candidate points are evaluated, then location accuracy is improved, but processing complexity deteriorates
Solution Approach 1:
The system applies different evaluation criteria and weights to different candidate points based on their local characteristics. Points near the user's current location are evaluated with higher priority and different parameters compared to distant points, allowing accurate identification while managing complexity through localized evaluation strategies
Data Source
AI summary
An information processing device is an information processing device that acquires information from social media. The information processing device includes a control unit configured to: acquire at least one posted text from social media; extract at least one facility name from the posted text; select, as a candidate point, one or more points whose evaluation value determined by a predetermined criterion is equal to or larger than a first threshold from one or more points corresponding to the extracted facility name; and display, on a map, information indicating a location of the candidate point selected by the user.