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            ### Sample Example 1
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            ```mermaid
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            graph TD;
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                %% Input and normalized text nodes
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                A["Input Text: i don't know for real y he's sooo sad"]
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                B["Normalized Text: i do not know for real why he's so sad"]
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                C["Sentiment"]
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                A --> B
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                A -->|Sentiment| C
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                %% Sentiment value nodes (values inside the boxes)
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                C -->|Negative| D["0.99587"]
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                C -->|Neutral| E["6.23e-05"]
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                C -->|Positive| F["2.10e-05"]
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                %% Converge sentiment nodes to Emotion stage
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                D -->|Emotion| G
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                E -->|Emotion| G
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                F -->|Emotion| G
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                G["Emotion"]
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                %% Emotion nodes: arrow labels show emotion category; node boxes show numeric values.
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                G -->|Anger| H["0.0"]
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                G -->|Disgust| I["0.0"]
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                G -->|Fear| J["0.01028"]
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                G -->|Joy| K["0.0"]
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                G -->|Neutral| L["0.02194"]
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                G -->|Sadness| M["1.0"]
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                G -->|Surprise| N["0.02158"]
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            ```
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            ```mermaid
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            graph LR;
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                %% Input and normalized text nodes
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                A["Input Text: you rlly think all that talk means u tough? lol, when I step up, u ain't gon say sh*t"]
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                B["Normalized Text: you really think all that talk makes you tough [lol](laughed out loud) when i step up you are not going to say anything"]
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                C["Sentiment"]
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                A --> B
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                A -->|Sentiment| C
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                %% Sentiment value nodes
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                C -->|Negative| D["0.99999"]
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                C -->|Neutral| E["6.89e-06"]
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                C -->|Positive| F["1.11e-05"]
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                %% Converge sentiment nodes to Emotion stage
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                D -->|Emotion| G
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                E -->|Emotion| G
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                F -->|Emotion| G
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                G["Emotion"]
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                %% Emotion nodes: arrow labels show emotion category; nodes show numeric values.
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                G -->|Anger| H["0.14403"]
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                G -->|Disgust| I["0.03928"]
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                G -->|Fear| J["0.01435"]
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                G -->|Joy| K["0.04897"]
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                G -->|Neutral| L["0.49485"]
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                G -->|Sadness| M["0.02111"]
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                G -->|Surprise| N["0.23741"]
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            ```
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            ### Sample Example 3
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            ```mermaid
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            graph TD;
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                %% Input and normalized text nodes
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                A["Input Text: bruh, floods in Kerala, rescue ops non‑stop 🚁"]
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                B["Normalized Text: Brother, the floods in Kerala are severe, and rescue operations are ongoing continuously."]
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                C["Sentiment"]
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                A --> B
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                A -->|Sentiment| C
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                %% Sentiment value nodes
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                C -->|Negative| D["4.44e-05"]
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                C -->|Neutral| E["0.99989"]
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                C -->|Positive| F["7.10e-05"]
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                D -->|Emotion| G
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                E -->|Emotion| G
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                F -->|Emotion| G
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                G["Emotion"]
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                %% Emotion nodes: arrow labels show emotion category; node boxes show numeric values.
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                G -->|Anger| H["0.08018"]
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                G -->|Disgust| I["0.01526"]
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                G -->|Fear| J["0.60187"]
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                G -->|Joy| K["0.00411"]
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                G -->|Neutral| L["0.02194"]
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                G -->|Sadness| M["1.0"]
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                G -->|Surprise| N["0.02158"]
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            ### Sample Example 1
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            ### Sample Example 2
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            ### Sample Example 3
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