average_downweighted_zero- Downweight the zeros in a vector for
averaging. This is useful in the context of language where we don't want the
neutral sentences to have such a strong influence on the general sentiment of
the discourse with multiple sentences. Essentially, this means neutral
sentences are seen as having less emotional impact than a polarized sentence.
average_weighted_mixed_sentiment- Upweight the negative values in a
vector while also downweighting the zeros in a vector. Useful for small text
chunks with several sentences in which some one states a negative sentence
but then uses the social convention of several positive sentences in an
attempt to negate the impact of the negative. The affective state isn't
a neutral but a slightly lessened negative state.
average_mean- Standard mean averaging with na.rm set to TRUE.
logical. Should NA values should be stripped before the
computation proceeds.
mixed.less.than.zero.weight
The weighting factor to multiply the
negative elements of the vector by (this increases the intensity of the
negatives in the numerator of the mean formula).
…
ignored.
Value
Returns a scalar summary of the re-weighted average