Make predictions for text data - Amazon SageMaker
Single predictionsBatch predictions

Make predictions for text data

The following procedures describe how to make both single and batch predictions for text datasets. Each Ready-to-use model supports both Single predictions and Batch predictions for your dataset. A Single prediction is when you only need to make one prediction. For example, you have one image from which you want to extract text, or one paragraph of text for which you want to detect the dominant language. A Batch prediction is when you’d like to make predictions for an entire dataset. For example, you might have a CSV file of customer reviews for which you’d like to analyze the customer sentiment, or you might have image files in which you’d like to detect objects.

You can use these procedures for the following Ready-to-use model types: sentiment analysis, entities extraction, language detection, and personal information detection.

Note

For sentiment analysis, you can only use English language text.

Single predictions

To make a single prediction for Ready-to-use models that accept text data, do the following:

  1. In the left navigation pane of the Canvas application, choose Ready-to-use models.

  2. On the Ready-to-use models page, choose the Ready-to-use model for your use case. For text data, it should be one of the following: Sentiment analysis, Entities extraction, Language detection, or Personal information detection.

  3. On the Run predictions page for your chosen Ready-to-use model, choose Single prediction.

  4. For Text field, enter the text for which you’d like to get a prediction.

  5. Choose Generate prediction results to get your prediction.

In the right pane Prediction results, you receive an analysis of your text in addition to a Confidence score for each result or label. For example, if you chose language detection and entered a passage of text in French, you might get French with a 95% confidence score and traces of other languages, like English, with a 5% confidence score.

The following screenshot shows the results for a single prediction using language detection where the model is 100% confident that the passage is English.

Screenshot of the results of a single prediction with the language detection Ready-to-use model.

Batch predictions

To make batch predictions for Ready-to-use models that accept text data, do the following:

  1. In the left navigation pane of the Canvas application, choose Ready-to-use models.

  2. On the Ready-to-use models page, choose the Ready-to-use model for your use case. For text data, it should be one of the following: Sentiment analysis, Entities extraction, Language detection, or Personal information detection.

  3. On the Run predictions page for your chosen Ready-to-use model, choose Batch prediction.

  4. Choose Select dataset if you’ve already imported your dataset. If not, choose Import new dataset, and then you are directed through the import data workflow.

  5. From the list of available datasets, select your dataset and choose Generate predictions to get your predictions.

After the prediction job finishes running, on the Run predictions page, you see an output dataset listed under Predictions. This dataset contains your results, and if you select the More options icon ( Vertical ellipsis icon representing a menu or more options. ), you can Preview the output data. Then, you can choose Download to download the results.