documentation update for #20

R/natural-language.R

@@ -25,7 +25,7 @@
 #'  \item{tokens - }{\href{https://cloud.google.com/natural-language/docs/reference/rest/v1/Token}{Tokens, along with their syntactic information, in the input document}}
 #'  \item{entities - }{\href{https://cloud.google.com/natural-language/docs/reference/rest/v1/Entity}{Entities, along with their semantic information, in the input document}}
 #'  \item{documentSentiment - }{\href{https://cloud.google.com/natural-language/docs/reference/rest/v1/Sentiment}{The overall sentiment for the document}}
-#'  \item{classifyText -}{\href{https://cloud.google.com/natural-language/docs/classifying-text}}
+#'  \item{classifyText -}{\href{https://cloud.google.com/natural-language/docs/classifying-text}{Classification of the document}}
 #'  \item{language - }{The language of the text, which will be the same as the language specified in the request or, if not specified, the automatically-detected language}
 #'  \item{text - }{The original text passed into the API. \code{NA} if not passed due to being zero-length etc. }
 #' }

README.Rmd

@@ -110,7 +110,7 @@ The Natural Language API returns natural language understanding technolgies.  Yo
 
 You can pass a vector of text which will call the API for each element.  The return is a list of responses, each response being a list of tibbles holding the different types of analysis.
 
-```{r}
+```r
 texts <- c("to administer medicince to animals is frequently a very difficult matter, and yet sometimes it's necessary to do so", 
          "I don't know how to make a text demo that is sensible")
 nlp_result <- gl_nlp(texts)
@@ -127,7 +127,7 @@ You can detect the language via `gl_translate_detect`, or translate and detect l
 
 Note this is a lot more refined than the free version on Google's translation website.
 
-```{r}
+```r
 text <- "to administer medicine to animals is frequently a very difficult matter, and yet sometimes it's necessary to do so"
 ## translate British into Danish
 gl_translate(text, target = "da")$translatedText
@@ -145,7 +145,7 @@ A test audio file is installed with the package which reads:
 
 The file is sourced from the [University of Southampton's speech detection](http://www-mobile.ecs.soton.ac.uk/newcomms/) group and is fairly difficult for computers to parse, as we see below:
 
-```{r}
+```r
 ## get the sample source file
 test_audio <- system.file("woman1_wb.wav", package = "googleLanguageR")
 
@@ -165,7 +165,7 @@ A test audio file is installed with the package which reads:
 
 The file is sourced from the [University of Southampton's speech detection](http://www-mobile.ecs.soton.ac.uk/newcomms/) group and is fairly difficult for computers to parse, as we see below:
 
-``` r
+```r
 ## get the sample source file
 test_audio <- system.file("woman1_wb.wav", package = "googleLanguageR")