twitter_sentiment: NRC sentiment analysis

In BeaJJ/ComTxt: Twitter text analysis (ComTxt)

Description

This function is to get NRC sentiment lexicons using tidytext package. The function joins one column of words and another column of categories of lexicon. NRC provides 105 different langauge lexicon

Usage

twitter_sentiment(df, language, undesirable_words)

Arguments

df	The preprocessed twitter data frame
language	The language set
undesirable_words	The set of words to eliminate for the analysis

Source

Silge and Robinson (2016) tidytext: Text Mining and Analysis Using Tidy Data Principles in R

Saif Mohammad and Peter Turney (2013) Crowdsourcing a Word-Emotion Association Lexicon, Computational Intelligence, 29 (3), 436-465

Examples

df_sent <- twitter_sentiment(df_pre, language = "es", undesirable_words = c("lol", "wtf"))

BeaJJ/ComTxt documentation built on Dec. 17, 2021, 10:46 a.m.