Mining for Emotion: Using AI to Find the Heart of Your Interviews
Dev.to / 6/14/2026
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Key Points
- The article argues that AI-assisted interview analysis can quickly surface emotional “beats” that are easy to miss during manual review.
- It proposes an Emotion Mapping Framework that tags transcript cues (e.g., expressions of conviction, vulnerability, and tonal shifts) to map the emotional arc of an interview.
- The framework is presented as a way to identify the strongest soundbites and shape a narrative that feels authentic to viewers.
- It highlights IBM Watson Tone Analyzer as a tool that analyzes cleaned transcripts to detect emotions and linguistic tones, producing measurable scores for cue categories.
- A mini-scenario and an implementation plan are used to show how the framework and tool can be applied in practice.
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