I am using the workflow for Lexicon Based Sentiment Analysis and I am trying to understand the formula that was used in this workflow for sentiment prediction. I attached the screenshot of it and would be glad if someone can help me to understand this better. In addition to that, what I want to do is, I want to assign “POSITIVE” sentiment for all sentiment scores higher than “0”, assign “NEGATIVE” sentiment for all scores lower than “0” and all else assign “NEUTRAL”. How can I can do that? Thanks in advance for your help.
If the Sentiment Score on this row is greater than or equal to the overall average of the Sentiment Score, then assign this row a label of “POS”. Otherwise, set it to “NEG”.
To make your desired change, just replace $${DMean(Sentiment Score)}$$ with 0.
Thank you very much. Is there an academic citation I can use for this calculation? I will use it in my working paper and I am looking for a citation that use this logic to predict the sentiments.
