sentiment_post_negation: Extract the sentiment from documents after considering a set...
In JiachengHe/TextAnalysis:
Description
Usage
Arguments
Value
Author(s)
Examples
Description
To address the ""NOT HAPPY" problem
Usage
1
sentiment_post_negation(df, ID, text, lexicon, negation_words)
Arguments
df
The original data frame (LexisNexis, Twitter, etc)
ID
The name of the variable identifying each document in the original data frame
text
The name of the variable containing the texts we want to analyze in the original data frame
lexicon
The sentiment database. lexicon = c("affin", "bing", "nrc", "loughran")
negation_words
A list of character
Value
A data_frame where each row represents a document and each column represents a sentiment.
If we use "affin" then it returns the sentiment score
Author(s)
Jiacheng He
Examples
1
sentiment_post_negation(document, ID, FULL_TEXT, "nrc", list("no", "not"))
JiachengHe/TextAnalysis documentation built on May 28, 2019, 7:51 a.m.
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Description Usage Arguments Value Author(s) Examples
Description
To address the ""NOT HAPPY" problem
Usage
1 | sentiment_post_negation(df, ID, text, lexicon, negation_words)
|
Arguments
df |
The original data frame (LexisNexis, Twitter, etc) |
ID |
The name of the variable identifying each document in the original data frame |
text |
The name of the variable containing the texts we want to analyze in the original data frame |
lexicon |
The sentiment database. lexicon = c("affin", "bing", "nrc", "loughran") |
negation_words |
A list of character |
Value
A data_frame where each row represents a document and each column represents a sentiment. If we use "affin" then it returns the sentiment score
Author(s)
Jiacheng He
Examples
1 | sentiment_post_negation(document, ID, FULL_TEXT, "nrc", list("no", "not"))
|
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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