Chilkat Online Tools

BatchDetectSentiment Java Example

Amazon Comprehend

import com.chilkatsoft.*;

public class ChilkatExample {

  static {
    try {
        System.loadLibrary("chilkat");
    } catch (UnsatisfiedLinkError e) {
      System.err.println("Native code library failed to load.\n" + e);
      System.exit(1);
    }
  }

  public static void main(String argv[])
  {
    // This example requires the Chilkat API to have been previously unlocked.
    // See Global Unlock Sample for sample code.

    CkRest rest = new CkRest();
    boolean success;

    CkAuthAws authAws = new CkAuthAws();
    authAws.put_AccessKey("AWS_ACCESS_KEY");
    authAws.put_SecretKey("AWS_SECRET_KEY");

    // Don't forget to change the region to your particular region. (Also make the same change in the call to Connect below.)
    authAws.put_Region("us-west-2");
    authAws.put_ServiceName("comprehend");
    // SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
    rest.SetAuthAws(authAws);

    // URL: https://comprehend.us-west-2.amazonaws.com/
    // Use the same region as specified above.
    success = rest.Connect("comprehend.us-west-2.amazonaws.com",443,true,true);
    if (success != true) {
        System.out.println("ConnectFailReason: " + rest.get_ConnectFailReason());
        System.out.println(rest.lastErrorText());
        return;
        }

    // The following code creates the JSON request body.
    // The JSON created by this code is shown below.

    // Use this online tool to generate code from sample JSON:
    // Generate Code to Create JSON

    CkJsonObject json = new CkJsonObject();
    json.UpdateString("LanguageCode","string");
    json.UpdateString("TextList[0]","string");

    // The JSON request body created by the above code:

    // {
    //   "LanguageCode": "string",
    //   "TextList": [
    //     "string"
    //   ]
    // }

    rest.AddHeader("Content-Type","application/x-amz-json-1.1");
    rest.AddHeader("X-Amz-Target","Comprehend_20171127.BatchDetectSentiment");

    CkStringBuilder sbRequestBody = new CkStringBuilder();
    json.EmitSb(sbRequestBody);
    CkStringBuilder sbResponseBody = new CkStringBuilder();
    success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody);
    if (success != true) {
        System.out.println(rest.lastErrorText());
        return;
        }

    int respStatusCode = rest.get_ResponseStatusCode();
    System.out.println("response status code = " + respStatusCode);
    if (respStatusCode != 200) {
        System.out.println("Response Header:");
        System.out.println(rest.responseHeader());
        System.out.println("Response Body:");
        System.out.println(sbResponseBody.getAsString());
        return;
        }

    CkJsonObject jResp = new CkJsonObject();
    jResp.LoadSb(sbResponseBody);

    // The following code parses the JSON response.
    // A sample JSON response is shown below the sample code.

    // Use this online tool to generate parsing code from sample JSON:
    // Generate Parsing Code from JSON

    String ErrorCode;
    String ErrorMessage;
    int Index;
    String Sentiment;
    int Mixed;
    int Negative;
    int Neutral;
    int Positive;

    int i = 0;
    int count_i = jResp.SizeOfArray("ErrorList");
    while (i < count_i) {
        jResp.put_I(i);
        ErrorCode = jResp.stringOf("ErrorList[i].ErrorCode");
        ErrorMessage = jResp.stringOf("ErrorList[i].ErrorMessage");
        Index = jResp.IntOf("ErrorList[i].Index");
        i = i+1;
        }

    i = 0;
    count_i = jResp.SizeOfArray("ResultList");
    while (i < count_i) {
        jResp.put_I(i);
        Index = jResp.IntOf("ResultList[i].Index");
        Sentiment = jResp.stringOf("ResultList[i].Sentiment");
        Mixed = jResp.IntOf("ResultList[i].SentimentScore.Mixed");
        Negative = jResp.IntOf("ResultList[i].SentimentScore.Negative");
        Neutral = jResp.IntOf("ResultList[i].SentimentScore.Neutral");
        Positive = jResp.IntOf("ResultList[i].SentimentScore.Positive");
        i = i+1;
        }

    // A sample JSON response body parsed by the above code:

    // {
    //   "ErrorList": [
    //     {
    //       "ErrorCode": "string",
    //       "ErrorMessage": "string",
    //       "Index": number
    //     }
    //   ],
    //   "ResultList": [
    //     {
    //       "Index": number,
    //       "Sentiment": "string",
    //       "SentimentScore": {
    //         "Mixed": number,
    //         "Negative": number,
    //         "Neutral": number,
    //         "Positive": number
    //       }
    //     }
    //   ]
    // }
  }
}