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.
Methods
assign_concepts
(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 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:
- 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.
- match_type{‘all’, ‘longest’, ‘best’}, optional
Type of matches to return. Defaults to ‘all’.
- enable_factsbool, optional
Whether to enable facts in the results. Defaults to False.
- languagestr, optional
Two letter ISO 639-1 code indicating the source language. Defaults to ‘en’.
- Returns:
- RestObj
The submitted job
See also
cas_management.get_caslib
cas_management.get_table