Subtraction of Positive and Negative Frequencies in Sentiment Analysis
Let's take an example, consider two words A &amp; B. A's positive/negative values are +1/0 and B's are +0.5/-0.5. Their difference would appear equivalent (diffAB = 1). When in fact they are quite different sentiments.
If you wanted to compute a single metric, you could do something like &quot;polarity&quot; i.e. take the squared sum of the values which would give you a positive value showing how &quot;polar&quot; the word is. In the case above, the word B would have a lower score because it's positive/negative values are less extreme.
When designing metrics, test a few scenarios to see if it matches your needs.