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| **To detect the prevailing sentiment of multiple input texts** | |
| The following ``batch-detect-sentiment`` example analyzes multiple input texts and returns the prevailing sentiment (``POSITIVE``, ``NEUTRAL``, ``MIXED``, or ``NEGATIVE``, of each one). :: | |
| aws comprehend batch-detect-sentiment \ | |
| --text-list "That movie was very boring, I can't believe it was over four hours long." "It is a beautiful day for hiking today." "My meal was okay, I'm excited to try other restaurants." \ | |
| --language-code en | |
| Output:: | |
| { | |
| "ResultList": [ | |
| { | |
| "Index": 0, | |
| "Sentiment": "NEGATIVE", | |
| "SentimentScore": { | |
| "Positive": 0.00011316669406369328, | |
| "Negative": 0.9995445609092712, | |
| "Neutral": 0.00014722718333359808, | |
| "Mixed": 0.00019498742767609656 | |
| } | |
| }, | |
| { | |
| "Index": 1, | |
| "Sentiment": "POSITIVE", | |
| "SentimentScore": { | |
| "Positive": 0.9981263279914856, | |
| "Negative": 0.00015240783977787942, | |
| "Neutral": 0.0013876151060685515, | |
| "Mixed": 0.00033366199932061136 | |
| } | |
| }, | |
| { | |
| "Index": 2, | |
| "Sentiment": "MIXED", | |
| "SentimentScore": { | |
| "Positive": 0.15930435061454773, | |
| "Negative": 0.11471917480230331, | |
| "Neutral": 0.26897063851356506, | |
| "Mixed": 0.45700588822364807 | |
| } | |
| } | |
| ], | |
| "ErrorList": [] | |
| } | |
| For more information, see `Sentiment <https://docs.aws.amazon.com/comprehend/latest/dg/how-sentiment.html>`__ in the *Amazon Comprehend Developer Guide*. | |