Package index • LimpiaR

Cleaning Posts

Functions for editing the text variable in place.

limpiar_accents(): Clean accented characters

limpiar_spaces(): Clean redundant spaces

limpiar_url(): Clean URLs from the text variable

limpiar_repeat_chars(): Clean repeated charaaaacters

limpiar_shorthands(): Clean shorthands and abbreviations

limpiar_tags(): Clean user handles and hashtags

limpiar_stopwords(): Clean stop words for visualisations

limpiar_slang(): Clean slang from multiple Spanish dialects

limpiar_recode_emojis(): Recode emojis with a textual description

limpiar_remove_emojis(): Completely Remove Most Emojis from Text

limpiar_emojis_es(): Replace emojis with a Spanish textual description

limpiar_pp_products(): Replace entities for the Peaks&Pit classifier

limpiar_pp_companies(): Remove known companies for pits & peaks

limpiar_non_ascii(): Remove non-ASCII characters except those with latin accents

limpiar_alphanumeric(): Remove everything except letters, numbers, and spaces

Removing Posts

Functions for removing unwanted posts entirely (rather than cleaning).

limpiar_duplicates(): Clean the text variable of duplicate posts

limpiar_retweets(): Clean retweets from the text variable

limpiar_spam_grams(): Remove posts containing spam-like n-grams

Utility Functions

Miscellaneous functions designed to speed up aspects of cleaning text.

limpiar_inspect(): Inspect every post and URL which contains a pattern

limpiar_na_cols(): Clean NA-heavy columns from a Data Frame or Tibble

limpiar_link_click(): Prepare a URL column to be clickable in Shiny/Data Table

limpiar_link_click_reverse(): Reverses (inverts) limpiar_link_click

limpiar_ex_subreddits(): Quickly extract subreddits from a link variable

limpiar_wrap(): Wrap strings for visual ease

Processing Parts of Speech

A collection of functions that collectively make up a Parts of Speech(POS) analysis and workflow.

limpiar_pos_import_model(): Import UDPipe models to begin Parts of Speech Analysis

limpiar_pos_annotate(): Annotate Texts for Parts of Speech Analysis using udpipe models.