sasctl.services.sentiment_analysis#

class sasctl._services.sentiment_analysis.SentimentAnalysis[source]#

Bases: Service

The Sentiment Analysis API is used to perform sentiment analysis on natural language text documents according to a prebuilt or user-defined model.

Methods

`analyze_sentiment`(documents[, caslib, ...])	Performs sentiment analysis on the input data.
`delete`(args, *kwargs)	Send a DELETE request.
`get`(args, *kwargs)	Send a GET request.
`get_link`(obj, rel)	Get link information from a resource.
`head`(args, *kwargs)	Send a HEAD request.
`info`()	Version and build information for the service.
`is_available`()	Check if the service is currently available.
`post`(args, *kwargs)	Send a POST request.
`put`(args, *kwargs)	Send a PUT request.
`request`(verb, path[, session, format_])	Send an HTTP request with a session.
`request_link`(obj, rel, **kwargs)	Request a link from a resource.

is_uuid

classmethod analyze_sentiment(documents, caslib=None, id_column=None, text_column=None, description=None, model=None, output_postfix=None, language='en')[source]#

Performs sentiment analysis on the input data.

Creates a setiment analysis task that executes asynchronously. There are two different interactions for sentiment analysis: analyzing documents in CAS tables and analyzing documents that are uploaded directly.

Parameters:

documentsstr or dict or list_like:: Documents to analyze. May be either the URI to a CAS table where the documents are currently stored, or an iterable of strings containing the documents’ text.
caslibstr or dict, optional: URI of a caslib in which the documents will be stored. Required if documents is a list of strings.
id_columnstr, optional: The column in documents that contains a unique id for each document. Required if documents is a CAS table URI.
text_columnstr, optional: The column in documents that contains the document text to analyze. Required if documents is a CAS table URI.
descriptionstr, optional: Description to add to the sentiment analysis job.
model
output_postfixstr, optional: Text to be added to the end of all output table names.
languagestr, optional: Two letter ISO 639-1 code indicating the source language. Defaults to ‘en’.

Returns:

RestObj: The submitted job