This is a default sentiment matching dictionary with over 100 pairs of positive:negative examples. Feel free to use as-is or use as an example to create your own. The main point is that there needs to be a corresponding negative for each positive.
An object of class
# For Example pos <- c("good apples", "fresh", "delicious") neg <- c("bad apples", "not fresh", "not delicious") # If positive was: c("good", "fresh", "delicious") # Then "These were some good apples" would be seen as closer to a negative example!
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