Determine Sentiment

Use Amazon Comprehend to determine the sentiment of a document. You can determine if the sentiment is positive, negative, neutral, or mixed. For example, you can use sentiment analysis to determine the sentiments of comments on a blog posting to determine if your readers liked the post.

Determine sentiment operations can be performed using any of the primary languages supported by Amazon Comprehend. All documents must be in the same language.

You can use any of the following operations to detect the sentiment of a document or a set of documents.

• DetectSentiment

• BatchDetectSentiment

• StartSentimentDetectionJob

The operations return the most likely sentiment for the text as well as the scores for each of the sentiments. The score represents the likelihood that the sentiment was correctly detected. For example, in the example below it is 95 percent likely that the text has a Positive sentiment. There is a less than 1 percent likelihood that the text has a Negative sentiment. You can use the SentimentScore to determine if the accuracy of the detection meets the needs of your application.

The DetectSentiment operation returns an object that contains the detected sentiment and a SentimentScore object. The BatchDetectSentiment operation returns a list of sentiments and SentimentScore objects, one for each document in the batch. The StartSentimentDetectionJob operation starts an asynchronous job that produces a file containing a list of sentiments and SentimentScore objects, one for each document in the job.

The following example is the response from the DetectSentiment operation.

{
"SentimentScore": {
        "Mixed": 0.030585512690246105,
        "Positive": 0.94992071056365967,
        "Neutral": 0.0141543131828308,
        "Negative": 0.00893945890665054
    },
    "Sentiment": "POSITIVE",
    "LanguageCode": "en"
}