API for mkearney/botornot
Classify Twitter Users as Bot or Not

Global functions
%>% Man page
age_of_twitter Source code
botornot Man page Source code
botornot.character Source code
botornot.data.frame Source code
botornot.factor Source code
botornot_dbl Man page Source code
classify_data Source code
convert_factors Source code
count_mean Source code
extract_features_exp Source code
extract_features_ntweets Source code
extract_features_ntweetsog Source code
extract_features_ytweets Source code
grepl_ Source code
hourofweekday Source code
max_ Source code
mean_ Source code
nchar_ Source code
ncoord Source code
ndigit_ Source code
percent_correct Source code
range_ Source code
relative_twitter_age Source code
sd_ Source code
sentiment_est_binary Source code
sentiment_nrc_anger Source code
sentiment_nrc_anticipation Source code
sentiment_nrc_disgust Source code
sentiment_nrc_fear Source code
sentiment_nrc_negative Source code
sentiment_nrc_positive Source code
sentiment_nrc_sadness Source code
sentiment_nrc_surprise Source code
sentiment_nrc_trust Source code
since_last Source code
since_last.POSIXct Source code
since_last.data.frame Source code
since_last.default Source code
since_last.grouped_df Source code
sum_ Source code
tf Source code
timeofday Source code
train_model Source code
tw_or_usr Source code
tweetbotornot Man page Source code
tweetbotornot.default Source code
vap_chr Source code
vap_dbl Source code
vap_fct Source code
vap_int Source code
vap_lgl Source code
which_language Source code
mkearney/botornot documentation built on Nov. 6, 2019, 3:14 p.m.