Social Media Input Classification via POS Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Social media inputs from consumers are noisy, unstructured, and difficult to process, leading to increased operational costs and delayed responses for product or service providers due to the lack of efficient workflows.
Innovation Solution
A framework that acquires social media inputs, cleans them to remove redundant elements, extracts features, and classifies them into predefined categories using a trained classifier, enabling automated and efficient processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual monitoring and ad hoc processing methods are used, then consumer feedback can be captured, but processing time increases and operational costs rise
Solution Approach 1:
The system enables automated self-processing of social media inputs through machine learning classifiers that automatically categorize and route consumer feedback without requiring manual human intervention for each input, thereby maintaining reliable capture while dramatically improving processing efficiency
Solution Approach 2:
The patent replaces the mechanical manual monitoring system with an automated computational system using machine learning algorithms and natural language processing to classify and route social media inputs, substituting human labor with intelligent automated processing
2Reliability
If manual monitoring teams are deployed, then social media inputs can be monitored, but additional overhead increases operational costs
Solution Approach 1:
The automated classification system processes and routes social media inputs independently without requiring ongoing human team deployment, eliminating the continuous operational overhead of manual monitoring while maintaining reliable input capture
Solution Approach 2:
The system creates intelligent copies of human classification capability through trained machine learning models that replicate and automate the feedback processing function, eliminating the need for continuous human resource allocation
3Quantity of substance
If no efficient workflow is implemented, then all consumer inputs are captured, but responses are delayed or complaints are overlooked
Solution Approach 1:
The system performs preliminary automated classification and routing of social media inputs before human review or response is needed, pre-organizing the workload by priority and category to ensure timely responses while maintaining comprehensive input capture
Solution Approach 2:
The automated classification system operates continuously without interruption to process incoming social media inputs in real-time, ensuring no complaints are overlooked and maintaining constant monitoring capability across all input channels
Data Source
AI summary
Described herein is a framework for classifying social media inputs. In accordance with one aspect of the framework, one or more social media inputs is acquired from one or more social media platforms. The social media inputs are cleaned to remove redundant elements. One or more features are extracted from the cleaned social media inputs. The social media inputs are classified by a trained classifier into predefined categories using the extracted one or more features.