From 82bd2b7c3b8a98c968c9744965e09819f753a905 Mon Sep 17 00:00:00 2001 From: mtorsij Date: Mon, 1 Dec 2025 22:07:15 +0100 Subject: [PATCH] Revert "multi theme handling" This reverts commit b21f402e1e869eb837393a70af10db42b9ffbaae. --- Architecture_Overview.py | 1 - 1 file changed, 1 deletion(-) diff --git a/Architecture_Overview.py b/Architecture_Overview.py index 19922bc..9309606 100644 --- a/Architecture_Overview.py +++ b/Architecture_Overview.py @@ -82,7 +82,6 @@ def _(mo): 2. **Process:** * The LLM analyzes each transcript segment-by-segment. * It extracts specific quotes that match a Theme Definition. - * **Multi-Theme Handling:** If a quote applies to multiple themes, it is tagged with *all* relevant themes. In the dataset, this creates multiple entries (one per theme) so the quote informs the synthesis of each relevant topic. * **Granular Sentiment Analysis:** For each quote, the model identifies: * **Subject:** The specific topic/object being discussed (e.g., "Login Flow", "Brand Tone"). * **Sentiment:** Positive / Neutral / Negative.