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Key Steps in AI Comment Analysis

Comment analysis is based on a rigorous three-step methodology designed to deliver clear, actionable insights.

1) Classification

At this stage, each comment is broken down into individual topics. This step is essential, as a single comment may address multiple distinct topics. The model then assigns a positive, negative, or neutral sentiment to each identified topic.

2) Quick preview

The model next determines whether the comment contains topics related to these key risk factors: harassment, management practice issues, and attrition. This step helps you quickly identify comments that typically require follow-up or intervention.

You also get quick and easy access to comments highlighting positive management practices. It is equally important to identify and celebrate these accomplishments.

3) Grouping

Finally, the model groups similar topics into themes and sub-themes. As noted earlier, a single comment can include multiple topics, meaning it may be associated with several themes and different sentiments at the same time.

This structured approach ensures a comprehensive, consistent, and reliable analysis of qualitative feedback.

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