meanr (version 0.1-2)

score: score

Description

Computes the sentiment score, the sum of the total number of positive and negative scored words. The function is vectorized so that it will return one row per string. The scoring function ignores (upper/lower) case and punctuation.

Usage

score(s, nthreads = meanr.nthreads())

Arguments

s

A string or vector of strings.

nthreads

Number of threads to use. By default it will use the total number of cores + hyperthreads.

Value

A dataframe, consisting of columns "positive", "negative", "score", and "wc". With the exception of "score", these are counts; that is, "positive" is the number of positive sentiment words, "negative" is the number of negative sentiment words, and "wc" is the wordcount (total number of words).

Details

The scoring function uses OpenMP to process text in parallel.

The function uses the Hu and Liu sentiment dictionary (same as everybody else) available here: https://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html

References

Hu, M., & Liu, B. (2004). Mining opinion features in customer reviews. National Conference on Artificial Intelligence.

Examples

# NOT RUN {
library(meanr)
s1 = "Abundance abundant accessable."
s2 = "Banana apple orange."
s3 = "Abnormal abolish abominable."
s = c(s1, s2, s3)

# as separate 'documents'
score(s, nthreads=1)

# as one document
score(paste0(s, collapse=" "), nthreads=1)

# }