Code_sent: Code single-word responses into dictionaries and sentiment

In gandalfnicolas/SADCAT: Dictionary creation with stereotype content dictionaries

Code single-word responses into dictionaries and sentiment

Description

This function allows you to code a variable of text responses into different sentiment scores. If available, sentiments are matched to raw words, otherwise they are matched to preprocessed words.Average the different valence scores. If a SWN score is available for the correct sense, then average that with other valence scores, if not, then check if version one of the valence scores means is na, if so, get the average of the second versions, if not get the average of the first versions.

Usage

Code_sent(data, raw_text = "rawword", preproc_text = "word")

Arguments

data	dataframe including the text to code
raw_text	string name of a variable (vector) of text that has not been preprocessed
preproc_text	string name of a variable (vector) of text that has been preprocessed using Full_preprocess()

Value

Original dataframe with additional columns for codings

gandalfnicolas/SADCAT documentation built on June 8, 2024, 6:26 a.m.