Entity sentiment shows but document sentiment shows NA about googlelanguager HOT 4 CLOSED

What if you send it in as one string? The code looks like it will send in each element in your column individually. Try paste(x, collapse = " ")

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Hi Mark,
Here's how the output looks when I try paste command. How can I save these as two dataframes?

1. with sentiment score per entity
2. document level sentiment

Thanks

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Ah I meant in the text you send in - what does

nlp <- gl_nlp(paste(cleanData$translatedText, collapse = " "),
                        nlp_type = "analyzeEntitySentiment", type="PLAIN_TEXT", language="en" )

...look like? It may be that the document sentiment needs a minimum number of letters to work.

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As per this link [for Classification function], at least 20 tokens are required https://cloud.google.com/natural-language/docs/classifying-text
2 out 5 rows in my sample data are fairly long. Also when I try the paste command within gl_nlp, I'm getting NA

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