Message Analysis System Using Segmentation for Cybercrime Monitoring
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Solution Overview
Problem
Existing methods for analyzing social media content are inadequate as they fail to provide a detailed analysis of large quantities of data, particularly in monitoring and analysis of social media for cybercrime, due to limitations in processing significant data volumes and not allowing for simultaneous analysis over time and geographic space.
Innovation Solution
A method that extracts subsets of data pairs from an initial set, reducing data size for finer analysis and faster processing, utilizing a computer system with a database and processing unit to analyze messages with fields for content and context, employing semantic analysis and thematic grouping to identify keywords and themes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional content analysis methods are used on social media data, then analysis coverage is provided, but analysis detail and processing speed deteriorate due to large data volumes
Solution Approach 1:
The patent divides the large social media dataset into smaller subsets based on geographic location and time period. Each subset can be analyzed independently and in parallel, enabling detailed analysis without sacrificing processing speed. The segmentation allows the system to handle large volumes of data while maintaining both analysis depth and processing efficiency.
2Measurement precision
If traditional content analysis methods are used on social media data, then analysis coverage is provided, but analysis detail deteriorates due to large data volumes
Solution Approach 1:
The patent segments the large dataset into smaller geographic and temporal subsets, allowing detailed analysis of each subset while managing overall data volume. This segmentation enables the system to maintain high analysis detail even when processing large quantities of social media data.
Solution Approach 2:
The patent introduces geographic location and time as additional dimensions for organizing and analyzing data. By adding these dimensions, the system can analyze data in a more structured way, enabling detailed analysis across multiple dimensions simultaneously without being overwhelmed by the total data volume.
3Adaptability or versatility
If traditional content analysis methods are used, then basic content analysis is provided, but simultaneous analysis over time and geographic space deteriorates
Solution Approach 1:
The patent extends the analysis framework to include geographic location and time as explicit dimensions. This allows simultaneous analysis across content, location, and time without requiring a fundamentally complex system redesign, as the additional dimensions are integrated into the existing analysis pipeline.
Solution Approach 2:
The patent creates a universal analysis framework that can handle multiple types of analysis (content analysis, geographic analysis, temporal analysis) within a single system. This multi-functional approach enables simultaneous analysis across different dimensions without proportionally increasing system complexity.
Data Source
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AI summary
A method for analysing a plurality of messages, and an associated computer programme product and device. The invention concerns a method for analysing a plurality of messages, each message comprising a plurality of separate paired fields, including at least one field related to the content of the message and one field related to the transmission context of the message, each field comprising a value, the method being implemented by a computer and being characterised in that it comprises: - a step (105) of searching, in at least one field related to the content of a first message, for the value of a target field of a second message; - a step (110) of storing, in a memory, a pair comprising an identifier of the value of the target field of the first message and an identifier of the value of the target field of the second message.