Social Media Message Classification for Customer Service

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Solution Overview

Problem

Current methods for classifying social media messages are inefficient, leading to businesses struggling to accurately address customer issues, recognize helpful feedback, and measure social media management efforts, as discussions often shift topics and become lengthy, causing missed opportunities for improvement and analysis.

Innovation Solution

A message classification system that identifies and organizes social media messages with common contexts into messaging threads, allowing for intelligent classification based on keywords, user interactions, and timestamps, providing categorized threads to representatives for focused issue resolution and user classification for prioritization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If businesses manually review and classify social media discussions, then they can address customer issues, but the complexity and length of discussions cause missed issues and reduced efficiency

Engineering Contradiction:

Improvecustomer service efficiencyVSAvoiddiscussion complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system segments a social media discussion into multiple messaging threads, each representing a distinct topic or issue. This segmentation allows the system to handle complex discussions by breaking them down into manageable units that can be individually classified and addressed, resolving the contradiction between handling discussion complexity and maintaining service efficiency.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system introduces an intermediary classification layer between raw social media discussions and customer service responses. This intermediary automatically analyzes discussion content, identifies multiple topics, creates messaging threads, and assigns classifications, thereby managing discussion complexity without reducing productivity.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Speed

If businesses respond only to the most recent message in a discussion, then response time is reduced, but important earlier issues are missed

Engineering Contradiction:

Improveresponse speedVSAvoidmissed customer issues

Core Design Contradiction:

SpeedVSLoss of information

Solution Approach 1:

By segmenting discussions into multiple messaging threads based on topic changes, the system ensures that each thread captures a complete issue from its inception. This allows rapid response to each segmented thread without missing earlier issues, as each thread is independently tracked and classified.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system performs preliminary classification and thread creation before responses are generated. By pre-segmenting the discussion into topic-based threads and identifying all issues upfront, the system enables rapid response to each issue without overlooking earlier problems that might be buried in the discussion history.

Inventive Principle:

Principle #10Preliminary action

3Speed

If initial classification is done at the start of discussion, then classification speed is improved, but accuracy decreases as discussion topics shift

Engineering Contradiction:

Improveclassification speedVSAvoidclassification accuracy

Core Design Contradiction:

SpeedVSMeasurement precision

Solution Approach 1:

The system dynamically creates multiple messaging threads as discussion topics shift, rather than using a static initial classification. Each messaging thread is classified based on its specific content, allowing the system to maintain both speed (through automated processing) and accuracy (through topic-specific classification) as the discussion evolves.

Inventive Principle:

Principle #15Dynamics

4Loss of time

If businesses analyze only the first or last topic in discussions, then analysis effort is reduced, but valuable insights from other topics are lost

Engineering Contradiction:

Improveanalysis timeVSAvoidmissed success and failure points

Core Design Contradiction:

Loss of timeVSLoss of information

Solution Approach 1:

The system segments discussions into multiple messaging threads, each representing a distinct topic. This segmentation enables comprehensive analysis of all topics without excessive time investment, as each thread can be independently analyzed for successes and failures. The segmented structure makes it efficient to review all threads rather than manually analyzing the entire discussion.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS10467630B2Organizing and classifying social media conversations to improve customer service

Publication Date: 2019.11.05 ADOBE INC

AI summary

The present disclosure is directed toward a message classification system that allows for improved customer service through intelligent classification of social media messages. For example, the message classification system may detect one or more messages that share a common context from within a group of messages, organize the detected messages into a messaging thread, and analyze messages within the messaging thread to identify a messaging thread classification. Further, the message classification system may analyze users participating in messaging threads to determine user classifications. Using the classified messaging thread and/or user classifications, the message classification system may assist an entity in improving social media customer service.