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All functions

clean_df_text()
Clean a text variable of a df
col2hex()
Convert color to hexadecimal
color_emotions()
Color gt with emotions
color_polarity()
Color gt with polarity
corpus_to_tokens()
Convert quanteda corpus to tokens
download_subtitles()
Download subtitles from a youtube video
export_to_iramuteq()
Export to iramuteq
format_emotions()
Format gt with emotions
format_polarity()
Format gt with polarity
get_dictionary()
Get quanteda dictionary with preset terms
get_dominant_emotion()
Get most frequent emotion of a sentiment score df
get_dominant_polarity()
Get most frequent polarity of a sentiment score df
get_recode_words()
get recoding words
get_specific_multiwords()
Get specific multiwords for the study
get_specific_stopwords()
Specific stopwords for this study
get_videos_info()
Get YouTube informations of videos from a playlist
get_videos_stat()
Get YouTube statistics informations of videos
get_videos_text()
Get YouTube subtitles of videos
group_minuted_text()
Regroup text by minutes
hms_to_sec()
Convert hour:minutes:secondes to secondes
import_from_iramuteq()
import df from iramuteq
label_emotions()
Label gt with emotions
label_polarity()
Label gt with polarity
lexico_example()
Obtain extdata for the lexico package
parse_yt_duration()
Get duration of a youtube video
read_iramuteq_class()
Read report from iramuteq to extract words of each class
read_vtt_as_df()
Convert subtitles file to minuted data.frame
read_vtt_as_text()
Convert subtitles file to text (OLD)
remove_apostrophe()
Correct apostrophe
run_complete_extraction()
Run a complete extraction for a playlist id
summarise_emotions()
Summarise emotions of a data.frame
summarise_polarity()
Summarise polarity of a data.frame
treemap_double_classe()
Plot a treemap of thema and classe of segments
vtt_files_to_df()
Convert vtt files to minuted data.frame