I extracted the comments and calculated the sentimental score using the lexicon-based sentiment analysis (-negative ~ +positive).
I was wondering if this is right to try to use min-max scaling to calculate the affective polarization score for each comment. In other words, I want to check if 0 means that the degree of polarization is not large, and 1 means that the degree of polarization is large.
demo_df['polarity'] = (demo_df['sentiment_score'] - min_score) / score_range
Thank you in advance!!
I wanna get polarity score.