get_vader: Get a named vector of vader results for a single text...

In krgitcode/vader: Valence Aware Dictionary and sEntiment Reasoner (VADER)

Description

Use get_vader() to calculate the valence of a single text document.

Usage

get_vader(text, incl_nt = T, neu_set = T)

Arguments

text	to be analyzed; for get_vader(), the text should be a character string
incl_nt	defaults to T, indicates whether you wish to incl n't contractions (e.g., can't) in negation analysis
neu_set	defaults to T, indicates whether you wish to count neutral words in calculations

Value

A named vector containing the valence score for each word; an overall, compound valence score for the text; the weighted percentage of positive, negative, and neutral words in the text; and the frequency of the word "but".

References

For the original Python Code, please see:

• https://github.com/cjhutto/vaderSentiment

• https://github.com/cjhutto/vaderSentiment/blob/master/vaderSentiment/vaderSentiment.py

For the original R Code, please see:

• https://github.com/nrguimaraes/sentimentSetsR/blob/master/R/ruleBasedSentimentFunctions.R

Modifications to the above scripts include, but are not limited to:

• ALL CAPS fx: updated to account for non-alpha words; i.e. "I'M 100 PERCENT SURE" would previously have been counted as mixed case due to the use of numbers

• IDIOMS fx: added capacity to check for idioms that do not contain any words found in the Vader Lexicon

• WORDS+EMOT: strip punctuation while preserving ALL emoticons found in dictionary

• Option to turn on/off neutral count

N.B.

In the examples below, "yesn't" is an internet neologism meaning "no", "maybe yes, maybe no", "didn't", etc.

See Also

vader_df to get vader results for multiple text documents

Examples

get_vader("I yesn't like it")
get_vader("I yesn't like it", incl_nt = FALSE)
get_vader("I yesn't like it", neu_set = FALSE)

krgitcode/vader documentation built on May 12, 2020, 12:58 a.m.