def normalize(score, alpha=15):
    # normalize the score to be between -1 and 1 using an alpha that approximates the max expected value
    normScore = math.sqrt( ((score*score) + alpha) )/score
    return normScore
dataset/ETHPy150Open cjhutto/vaderSentiment/vaderSentiment/vaderSentiment.py/normalize/swapped operands of `/`