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I guess limits of compound values to categorize positive, negative and neutral should be like ``compound`` score >=0.5, (``compound`` score < 0.5 and ``compound`` score > -0.5) and ``compound`` score <=-0.5. I don't find proper result with above mentioned limits could you please check on that.
cjhutto
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Aug 6, 2019
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Since sentiment scores are very closely tied to the actual text (and the domain of analysis for the data set), threshold values will be up to the modeler/analyst... use what works for you, but the thresholds recommended here (i.e., +/- 0.05) have a very "tight" allowance for what is considered neutral (and everything else is either positive to some [varying] degree of intensity, or negative to some degree).
We'll leave the recommended thresholds in the README as is, but I'll leave this note open so that these comments are visible to others who might be interested.
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I guess limits of compound values to categorize positive, negative and neutral should be like
compoundscore >=0.5, (compoundscore < 0.5 andcompoundscore > -0.5) andcompoundscore <=-0.5. I don't find proper result with above mentioned limits could you please check on that.