Once your model is trained, you must deploy the model on Abacus.AI platform to generate predictions. You can use the prediction dashboard to generate the predictions from the trained model. In this section the underlying prediction API and all other additional prediction API methods are discussed for the use case in consideration:
Method
getSentimentPOST
CopyPOST
Predicts sentiment on a document
Arguments:
REQUIRED
KEY
TYPE
DESCRIPTION
Yes
deploymentToken
str
A token used to authenticate access to deployments created in this project. This token is only authorized to predict on deployments in this project, so it is safe to embed this model inside of an application or website.
Yes
deploymentId
str
A unique string identifier for a deployment created under this project.
Yes
document
str
The document to be analyzed for sentiment.
Note: The arguments for the API methods follow camelCase but for Python SDK underscore_case is followed.
Response:
KEY
TYPE
DESCRIPTION
success
Boolean
true if the call succeeded, false if there was an error