Microblog Event Context Acquisition via Heat Distribution Analysis
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Solution Overview
Problem
Current methods fail to accurately and efficiently acquire the event context of a news topic from microblogs, which is crucial for understanding the development and progression of events over time.
Innovation Solution
A microblog-based event context acquiring method and system that calculates an event heat time distribution using comment, repost, and praise counts, and selects key time nodes and events based on this distribution to construct the event context, incorporating weight coefficients and statistical analysis to identify steep increases and new event generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to acquire event context from microblogs, then the acquisition process is simple, but the accuracy and efficiency of event context acquisition is poor
Solution Approach 1:
The patent segments the event context acquisition process into distinct modules: microblog data collection, event extraction, temporal relationship analysis, and context construction. Each module handles specific aspects of the acquisition process, improving accuracy while maintaining manageable system complexity through functional decomposition.
Solution Approach 2:
The patent introduces an event context construction module as an intermediary that processes raw microblog data and extracted events to build structured event contexts. This intermediary layer transforms unstructured social media data into organized event narratives, enhancing acquisition accuracy without requiring direct complex processing throughout the entire system.
2Measurement precision
If comprehensive microblog data is collected to improve event context accuracy, then the event context becomes more accurate, but the data processing time increases
Solution Approach 1:
The patent implements preliminary filtering and classification of microblog data before full processing. Event candidates are pre-identified and categorized based on keywords and basic attributes, so that when comprehensive analysis is performed, the data is already organized and ready for efficient processing, reducing overall processing time while maintaining accuracy.
Solution Approach 2:
The patent employs periodic sampling and batch processing strategies where microblog data is collected and processed in time intervals rather than continuously. This allows the system to handle comprehensive data at scheduled intervals, balancing thoroughness with processing time constraints through rhythmic data acquisition and analysis cycles.
Data Source
AI summary
A Microblog-based event context acquiring method has: an event-related acquiring information of original microblogs and reposted microblogs thereof contained in a predetermined topic within a statistical time period; calculating an event heat time distribution about the topic corresponding to the information of the original and reposted microblogs thereof related to the event within the statistical time period, the event heat indicating a degree of concern of the original microblogs and the reposted microblogs thereof related to the event in a user group; and selecting, from the statistical time period, a plurality of event context time nodes and corresponding node events according to the event heat time distribution about the topic within the statistical time period so as to constitute an event context of the topic. Event context of the event contained in the predetermined topic by means of the microblogs is acquired quickly and accurately.