Google 的 Cloud Natural Language API 抛出“Request contains an invalid argument”错误（400）

Question

Trying to use the documents.analyzeSentiment method in the NLP API but it's throwing an error indicating that the argument is invalid.

The error being presented is this -

{error={code=400, message=Request contains an invalid argument., status=INVALID_ARGUMENT}}

This is what I'm trying out on Apps Script -

function analyzeText() {

  var apiKey = 'MyAPIKeyViaCloudConsole'

  var text = "I love R&B music. Marvin Gaye is the best. 'What's Going On' is one of my favorite songs. It was so sad when Marvin Gaye died.";

  var requestUrl = 'https://language.googleapis.com/v1/documents:analyzeSentiment?key=' + apiKey;

  var data = {
    "document": {
      "language": "en",
      "content": text
    },
    "encodingType": "UTF8"
  };

  var options = {
    method : "POST",
    contentType: "application/json",
    payload : JSON.stringify(data),
    muteHttpExceptions: true
  };

  var response = UrlFetchApp.fetch(requestUrl, options);

  var data = JSON.parse(response);

  Logger.log(data);

}

Basically, I intend to some sort of sentiment analysis on a whole bunch of things (client remarks, some tweets etc.) those of what I'll deal with in batches once I've gotten the code to work.

What am I doing wrong?? :(

Answer 1

Looks like you'd be required to provide the "type" in your data param + I also updated the "language" from plan en to en-us .

Try this -

function analyzeText() {

  var apiKey = 'YourAPIKey'

  var text = "Random Text as required";

  var requestUrl = 'https://language.googleapis.com/v1/documents:analyzeSentiment?key=' + apiKey;

  var data = {
    "document": {
      "language": "en-us",
      "type": "PLAIN_TEXT",
      "content": text
    },
    "encodingType": "UTF8"
  };

  var options = {
    method : "POST",
    contentType: "application/json",
    payload : JSON.stringify(data),
    muteHttpExceptions: true
  };

  var response = UrlFetchApp.fetch(requestUrl, options);

  var data = JSON.parse(response);

  Logger.log(data);

}

Obviously, based on your use case, you may want to iterate a batch of text via a for loop.

Also, please ensure that your Google Cloud Console Project has a billing account associated with it to run the Natural Language API.