sasctl.services.concepts#

class sasctl._services.concepts.Concepts[source]#

Bases: Service

Assigns concepts to natural language text documents according to a prebuilt or user-defined model.

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

Performs sentiment analysis on the input data.

Creates a sentiment 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:

documents (str or dict or list) – 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.
caslib (str or dict, optional) – URI of a caslib in which the documents will be stored. Required if documents is a list of strings.
id_column (str, optional) – The column in documents that contains a unique id for each document. Required if documents is a CAS table URI.
text_column (str, optional) – The column in documents that contains the document text to analyze. Required if documents is a CAS table URI.
description (str, optional) – Description to add to the sentiment analysis job.
model
output_postfix (str, optional) – Text to be added to the end of all output table names.
match_type (str, optional) – Choose from {'all', 'longest', 'best'}. Type of matches to return. Defaults to ‘all’.
enable_facts (bool, optional) – Whether to enable facts in the results. Defaults to False.
language (str, optional) – Two letter ISO 639-1 code indicating the source language. Defaults to ‘en’.

Returns:

RestObj – The submitted job