Description Usage Arguments Value See Also Examples
View source: R/keyword_sentiment.R
See the sign-up documentation for step by step instructions to secure your own username and password to enable you to authenticate the Watson NLU API. The keyword_sentiment function takes a text or URL input, along with the input type. The function then returns a dataframe containing the sentiments of the keywords extracted from the input, and the likelihood that the input is described by that sentiment. See the keyword_sentiment documentation for more usage cases.
1 2 | keyword_sentiment(input = NULL, input_type = NULL,
version = "?version=2018-03-16")
|
input |
Either a text string input or website URL.
Either |
input_type |
Specify what type of input was entered.
Either |
version |
The release date of the API version to use. Default value is |
Dataframe containing the sentiments of the keywords extracted from the input, and the likelihood that the input is described by that sentiment.
text_categories
, \link[watsonNLU]{keyword_relevance}
, \link[watsonNLU]{keyword_emotions}
, \link[watsonNLU]{auth_NLU}
1 2 3 4 5 6 7 8 9 10 11 12 | credentials <- readRDS("../tests/testthat/credentials.rds")
username <- credentials$username
password <- credentials$password
# Authenticate using Watson NLU API Credentials
auth_NLU(username, password)
# Find the keywords and related emotions in the given text input.
keyword_sentiment(input = 'This is a great API wrapper', input_type='text')
# Find the keywords and related emotions in the given URL input.
keyword_sentiment(input = 'http://www.nytimes.com/guides/well/how-to-be-happy', input_type='url')
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