I don’t understand how sentiment in the comment report is calculated. Is the sentiment based on the entire text of the comment for each open-ended question or each individual keyword or phrase found within a commenter’s response? For example, for a single question, there are only 3 commenters who wrote a single sentence each, but the % positive sentiment is 87% and the % negative sentiment is 13%. This calculation makes it seem like one sentence from a single commenter may have a stronger influence on the sentiment values than other commenters when in reality the commenter may only be using two redundant positive words to explain. Is there anyway to categorize sentiment based on the full text of the comment?
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