Root brands are the brands around which we collect mentions, and determine sentiment. Sentiment is always towards the brand.

root_brands(x, includeDeleted, includeArchived, short)

# S3 method for data.frame
root_brands(x, includeDeleted = FALSE, includeArchived = FALSE, short = TRUE)

# S3 method for brandseyer2.account
root_brands(x, includeDeleted = FALSE, includeArchived = FALSE, short = TRUE)

# S3 method for list
root_brands(x, includeDeleted = FALSE, includeArchived = FALSE, short = TRUE)

Arguments

x

The object to find root brands for.

includeDeleted

Whether to include deleted root brands. By default, only shows non-deleted brands.

includeArchived

Whether to include archived root brands. By default, only shows non-archived brands.

short

Include only the most import bits of brand information, such as the name and ID.

Value

A tibble containing rows only for the root brands of an account. Otherwise, like the table returned in brands().

Methods (by class)

  • data.frame: Find root brands from a tibble or data.frame. The data.frame should have id, parent, and deleted columns, just as the tibble returned from brands() does.

  • brandseyer2.account: Returns root brand information from an account object.

  • list: Returns root brand information from a list of account objects.

See also

brands() for returning all brands in an account.

Author

Constance Neeser

Examples

# Get root brands for an account account("TEST01AA") %>% root_brands()
#> # A tibble: 2 x 4 #> id name deleted archived #> <int> <chr> <lgl> <dbl> #> 1 1 Your Brand Here FALSE NA #> 2 2 Sibling Brand FALSE NA
# Get root brands from a tibble or data.frame account(c("TEST01AA", "TEST02AA")) %>% brands(short = FALSE) %>% root_brands()
#> Joining, by = "id"
#> # A tibble: 3 x 5 #> account id name deleted archived #> <chr> <dbl> <chr> <lgl> <dbl> #> 1 TEST01AA 2 Sibling Brand FALSE NA #> 2 TEST02AA 100 The Best of Brands FALSE NA #> 3 TEST01AA 1 Your Brand Here FALSE NA
# Show fuller root brand information account("TEST01AA") %>% root_brands(short = FALSE)
#> # A tibble: 2 x 14 #> id parent name description tier deleted schema filter volume_limit #> <int> <int> <chr> <lgl> <chr> <lgl> <chr> <chr> <int> #> 1 2 NA Sibling… NA TOPICS FALSE b0000… locatio… NA #> 2 1 NA Your Br… NA ESSENT… FALSE NA NA NA #> # … with 5 more variables: topic_tree_id <dbl>, sentiment_rate <dbl>, #> # topic_rate <dbl>, archived <dbl>, phrases <list>