Dynamic Topic Profile Query for Social Media Analysis
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Solution Overview
Problem
Conventional web search engines are inadequate for businesses seeking to analyze their presence and response on social media, as they rely on guessing user intent and require multiple search terms, which is inefficient for filtering through large volumes of social media content.
Innovation Solution
A system that dynamically generates and updates a topic profile based on keyword frequency in social media posts, allowing users to iteratively select and refine keywords, with a word cloud display and clustering algorithms to filter and analyze relevant content, enabling real-time analytics on social media posts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional web search engines use single word or phrase queries to locate content, then search efficiency is improved, but the ability to analyze business presence and response on social media deteriorates
Solution Approach 1:
The patent implements dynamic query expansion that automatically evolves search queries based on discovered content. The system starts with initial keywords and dynamically adds related terms, concepts, and entities discovered during the crawl, transforming a static single-phrase search into a dynamic multi-term query that adapts to the social media landscape and business context.
Solution Approach 2:
The patent introduces an intermediary processing layer between the user's simple keyword input and the complex social media analysis task. This intermediary system performs automated query expansion, content crawling, and analysis, translating simple search terms into comprehensive business presence analysis without requiring the user to manually construct complex queries.
2Speed
If web search engines return top ten results for a query, then response time is improved, but the ability to filter through large volumes of social media content deteriorates
Solution Approach 1:
The patent segments the large volume of social media content into organized categories and clusters based on relevance to the business. Instead of presenting a flat list of results, the system divides content into meaningful groups (e.g., by topic, sentiment, or content type) and provides hierarchical navigation, allowing users to efficiently filter and explore content without being overwhelmed by volume.
Solution Approach 2:
The patent adds dimensional organization to the search results by implementing multi-dimensional filtering and categorization. Content is organized not just by relevance score but also by additional dimensions such as content type, sentiment, time period, and thematic clusters, providing users with multiple avenues to filter and navigate large volumes of social media content efficiently.
3Device complexity
If search engines guess user intent with limited search terms, then device complexity is reduced, but measurement precision of search results deteriorates
Solution Approach 1:
The patent performs preliminary automated query expansion before the actual content search. The system pre-processes the user's simple keywords by automatically identifying and adding related terms, concepts, and entities that are relevant to business presence analysis. This preliminary action ensures that the subsequent search and crawling operations use comprehensive, precise queries without requiring complex user input.
Solution Approach 2:
The patent implements feedback mechanisms where the system analyzes discovered content and uses that information to refine and expand the search query iteratively. As the crawl progresses, the system feeds back information about encountered entities, concepts, and terminology, automatically adjusting the query to improve precision in capturing relevant business presence indicators.
Data Source
AI summary
A topic profile may be generated based on several words/phrases. The topic profile may include social media content items such as a social media post from a variety of social media sources. The topic profile may be presented to a user via a user interface that displays the one or more included/excluded words/phrases that may form the basis of a query for the topic profile. The user interface may display one or more representative social media content items and/or a word cloud of words/phrases related to the query. A user may select one or more words/phrases in the word cloud and/or one or more social media content items to be included in and/or excluded from the topic profile. The implementations disclosed herein may allow rapid filtering of a potentially large group of content items from potentially disparate social media sources.