Dynamic Phrase Visualization for Real-Time Trend Detection
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Solution Overview
Problem
Existing systems are unable to efficiently identify and collect specific information from a vast array of constantly changing data sources such as email providers, blogs, and social media networks, as they are limited to detecting expected information and struggle to detect current topics and content being discussed.
Innovation Solution
A system that processes natural language documents from multiple sources to extract and filter meaningful phrases, scoring them based on frequency and appearance across sources, and visually represents them to users, allowing for real-time monitoring of trending topics and content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If existing systems collect data from multiple information sources using automated software code, then data collection is automated and efficient, but the systems are limited to identifying only expected information and cannot detect current trending topics
Solution Approach 1:
The system automatically analyzes collected data to identify trending topics without requiring pre-programmed knowledge of what to look for. The software serves itself by using its own collected data to generate insights about current trends, eliminating the need for external configuration or pre-defined topic lists.
Solution Approach 2:
The system continuously monitors information sources and uses the collected data to update its understanding of trending topics in real-time. This feedback loop allows the system to adapt to changing trends automatically, where the output of analysis feeds back into improving future detection capabilities.
2Quantity of substance
If existing systems monitor a vast number of information sources, then comprehensive data coverage is achieved, but the systems are unable to efficiently identify specific information of interest
Solution Approach 1:
The system extracts only the most relevant information from the vast amount of collected data by identifying and isolating trending topics. Instead of processing all data equally, it pulls out the specific phrases and topics that are currently generating interest, making the information identification process efficient despite comprehensive data coverage.
Solution Approach 2:
The system dynamically changes the parameters of what constitutes 'information of interest' based on real-time analysis. By adjusting which phrases and topics are considered trending based on frequency and recency metrics, the system maintains high efficiency in identifying relevant information across all monitored sources.
3Stability of the object's composition
If existing systems use pre-defined software code to identify information, then the identification process is systematic, but the systems cannot detect what topics are currently being mentioned
Solution Approach 1:
The system transitions from static, pre-defined identification criteria to dynamic, real-time topic detection. The software maintains a systematic process but makes the identification criteria adaptive, allowing it to automatically adjust to current trending topics while preserving the structured approach to data analysis.
4Quantity of substance
If existing systems collect vast amounts of information from multiple sources, then comprehensive data is available, but it becomes increasingly difficult to monitor and identify information of interest
Solution Approach 1:
The system introduces an intermediary layer of automated analysis between the vast information sources and the user. This intermediary automatically processes the comprehensive data, identifies trending topics, and presents only the most relevant information, simplifying the monitoring task while maintaining access to all underlying data sources.
Data Source
AI summary
A plurality of phrases may be extracted from documents associated with one or more document sources. The plurality of phrases may be filtered and processed to determine a frequency in which the plurality of phrases appear in the documents and/or a number of the document sources in which each phrase appears. A weight may be assigned to each of the phrases and, based at least in part on the assigned weight, a visual representation of the plurality of phrases may be presented. The visual representation may be dynamically updated based at least in part on an updated frequency or an updated total number of document sources associated with any one of the plurality of phrases.