ma_term_sentiment: Determine the lagged sentiment of terms
In jcai849/iNZightTA: iNZight Text Analytics
Description
Usage
Arguments
Value
View source: R/ma-term-sentiment.R
Description
Determine the lagged sentiment of terms
Usage
1
ma_term_sentiment(.data, lexicon = "afinn", lag = 10, statistic = mean)
Arguments
.data
vector of terms
lexicon
sentiment lexicon to use, based on the corpus
provided by tidytext
lag
how many (inclusive) terms to compute statistic over
statistic
base statistic used to summarise the data, capable
of taking an na.rm argument
Value
vector with lagged sentiment score of each term in the input vector
jcai849/iNZightTA documentation built on Dec. 2, 2020, 6:59 a.m.
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Description Usage Arguments Value
View source: R/ma-term-sentiment.R
Description
Determine the lagged sentiment of terms
Usage
1 | ma_term_sentiment(.data, lexicon = "afinn", lag = 10, statistic = mean)
|
Arguments
.data |
vector of terms |
lexicon |
sentiment lexicon to use, based on the corpus provided by tidytext |
lag |
how many (inclusive) terms to compute statistic over |
statistic |
base statistic used to summarise the data, capable of taking an na.rm argument |
Value
vector with lagged sentiment score of each term in the input vector
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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