text_tone: IBM Tone Analyzer of Text
In ColumbusCollaboratory/cognizer: Access to Cognitive APIs

Description Usage Arguments Value See Also

View source: R/text_cognizers.R

Infers three types of tone - emotion, language, social - from the whole text or at sentense level.

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text_tone(text, userpwd, keep_data = "true", callback = NULL,
  content_type = "text/plain; charset=utf-8", version = "2016-05-19",
  tones = "", sentences = "true")

`text`	Character vector.
`userpwd`	Character scalar that contains 'username:password' string.
`keep_data`	Character scalar specifying whether to share your data with Watson services for the purpose of training their models.
`callback`	Function that can be applied to responses to examine http status, headers, and content, to debug or to write a custom parser for content. The default callback parses content into a data.frame while dropping other response values to make the output easily passable to tidyverse packages like dplyr or ggplot2. For further details or debugging one can pass a fail or a more compicated function.
`content_type`	Characte scalar specifying the HTTP header with type of text and its encoding.
`version`	Character scalar that specifies the data of most recent version of the algorithm.
`tones`	Character scalar that allows selecting one the three possible tones: emotion, language, social.
`sentences`	Character scalar specifying whether to do analysis at the sentence level.