Real-Time Text Message Analysis System Using Term Weighting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing technologies lack effective methods to analyze and summarize real-time user-generated text messages for thematic, spatial, and temporal insights, making it difficult for organizations to understand public opinion and trends related to events.
Innovation Solution
A system and method that processes and analyzes electronic messages for temporal and geographical information, generates term frequency and association strength values, and calculates term weight values to identify thematic importance, allowing for the selection and display of event descriptor terms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If real-time user-generated text messages are collected and analyzed, then public opinion and event insights are improved, but system complexity and processing requirements increase
Solution Approach 1:
The system segments the analysis process into distinct modules: message collection, temporal/spatial filtering, event descriptor extraction, term frequency calculation, and result presentation. Each module handles a specific aspect of the analysis, reducing overall system complexity while maintaining comprehensive analysis capabilities.
Solution Approach 2:
The patent introduces intermediary components such as event descriptor terms and term weight values that mediate between raw messages and final insights. These intermediaries structure and organize the data flow, making the system more manageable and interpretable.
2Loss of information
If comprehensive text message analysis is performed, then event understanding is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary filtering of messages based on temporal and spatial criteria before full analysis. Event descriptor terms are pre-identified and weighted, allowing the system to focus computational resources on the most relevant messages and terms, thereby reducing overall processing time.
Solution Approach 2:
The patent changes parameters by calculating term frequency and association strength values to prioritize important terms. This parameter transformation allows the system to efficiently identify key event descriptors without analyzing every message in detail, balancing comprehensiveness with processing efficiency.
3Measurement precision
If term frequency and association strength calculations are performed, then thematic importance is improved, but computational complexity increases
Solution Approach 1:
The system extracts only the most relevant event descriptor terms from messages by calculating term frequency and association strength. Rather than analyzing all terms in all messages, it extracts and weights only those terms that significantly contribute to thematic understanding, reducing computational complexity while maintaining measurement precision.
Data Source
AI summary
The present invention generally relates to methods and systems for analysis of real-time user-generated text messages. The methods and systems allow analysis to be performed using term associations and geographical and temporal constraints.