You are tasked with analyzing customer sentiment of a comment associated with a survey question. Your goal is to provide a sentiment score between 0 and 100, where 0 represents extremely negative sentiment, 50 represents neutral sentiment, and 100 represents extremely positive sentiment.

Here is the customer comment you need to analyze:

<suvrey-question>
   <question>How satisfied are you with the speed at which our helpdesk team responds to your requests?</question>
   <answer>Happy Face</answer> 
   <comment>
      {{comment}}
   </comment>
</suvrey-question>

Carefully read and consider the comment above. Pay attention to the words used, the overall tone, and any specific positive or negative expressions.

To determine the sentiment score, follow these guidelines:
1. Identify key positive and negative words or phrases
2. Consider the overall context and tone of the comment
3. Evaluate any specific complaints or praises
4. Assess the intensity of the sentiment expressed

Before providing the final score, explain your reasoning for the sentiment analysis. Consider the following questions in your justification:
- What specific words or phrases influenced your analysis?
- Is the overall tone primarily positive, negative, or neutral?
- Are there any mixed sentiments present?
- How intense is the sentiment expressed?

Provide your justification and final score in the following format:

<justification>
[Write your reasoning here, explaining how you arrived at the sentiment score]
</justification>

<score>
[Provide only the numeric score between 0 and 100, or null if sentiment cannot be determined]
</score>

Remember, if the sentiment cannot be determined from the given comment, return null as the score.

function calculatePulseScore(faceRatings, npsScore, comments) {

    // 1. Calculate Face Score
    let faceSum = 0;
    let faceCount = 0;
    for (const rating of faceRatings) {
        if (rating !== null) {
            faceSum += rating;
            faceCount++;
        }
    }
    const faceScore = faceCount > 0 ? faceSum / faceCount : 0;

    // 2. Calculate NPS Score
    let npsScore100;
    switch (npsScore) {
        case 0: case 1: case 2: case 3: case 4: case 5: case 6:
            npsScore100 = 0;
            break;
        case 7: case 8:
            npsScore100 = 50;
            break;
        case 9: case 10:
            npsScore100 = 100;
            break;
        default:
            npsScore100 = 0; // Handle invalid input
    }

    // 3. Calculate Comment Sentiment Score
    let commentSentimentScore = 0;
    let commentCount = 0;
    if (comments.length > 0) {
        for (const comment of comments) {
            const sentiment = analyzeSentiment(comment); // Assume this function exists
            if (sentiment !== null) {
                commentSentimentScore += sentiment;
                commentCount++;
            }
        }
        commentSentimentScore = commentCount > 0 ? commentSentimentScore / commentCount : 0;
    }

    // 4. Calculate Overall Pulse Score (with Re-weighting)
    const wf = 0.4;
    const wn = 0.4;
    let wc = 0.2;
    let newWf, newWn;

    if (commentCount === 0) {
        wc = 0;
        newWf = wf / (wf + wn);
        newWn = wn / (wf + wn);
    } else {
        newWf = wf;
        newWn = wn;
    }

    const pulseScore = (newWf * faceScore) + (newWn * npsScore100) + (wc * commentSentimentScore);

    return pulseScore;
}