File: //lib/mysqlsh/lib/python3.8/site-packages/oci/ai_language/models/sentiment_aspect.py
# coding: utf-8
# Copyright (c) 2016, 2025, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license.
# NOTE: This class is auto generated by OracleSDKGenerator. DO NOT EDIT. API Version: 20221001
from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401
from oci.decorators import init_model_state_from_kwargs
@init_model_state_from_kwargs
class SentimentAspect(object):
"""
Sentiment aspect object.
"""
def __init__(self, **kwargs):
"""
Initializes a new SentimentAspect object with values from keyword arguments.
The following keyword arguments are supported (corresponding to the getters/setters of this class):
:param offset:
The value to assign to the offset property of this SentimentAspect.
:type offset: int
:param length:
The value to assign to the length property of this SentimentAspect.
:type length: int
:param text:
The value to assign to the text property of this SentimentAspect.
:type text: str
:param sentiment:
The value to assign to the sentiment property of this SentimentAspect.
:type sentiment: str
:param scores:
The value to assign to the scores property of this SentimentAspect.
:type scores: dict(str, float)
"""
self.swagger_types = {
'offset': 'int',
'length': 'int',
'text': 'str',
'sentiment': 'str',
'scores': 'dict(str, float)'
}
self.attribute_map = {
'offset': 'offset',
'length': 'length',
'text': 'text',
'sentiment': 'sentiment',
'scores': 'scores'
}
self._offset = None
self._length = None
self._text = None
self._sentiment = None
self._scores = None
@property
def offset(self):
"""
Gets the offset of this SentimentAspect.
The number of Unicode code points preceding this entity in the submitted text.
:return: The offset of this SentimentAspect.
:rtype: int
"""
return self._offset
@offset.setter
def offset(self, offset):
"""
Sets the offset of this SentimentAspect.
The number of Unicode code points preceding this entity in the submitted text.
:param offset: The offset of this SentimentAspect.
:type: int
"""
self._offset = offset
@property
def length(self):
"""
Gets the length of this SentimentAspect.
Length of aspect text.
:return: The length of this SentimentAspect.
:rtype: int
"""
return self._length
@length.setter
def length(self, length):
"""
Sets the length of this SentimentAspect.
Length of aspect text.
:param length: The length of this SentimentAspect.
:type: int
"""
self._length = length
@property
def text(self):
"""
Gets the text of this SentimentAspect.
Aspect text.
:return: The text of this SentimentAspect.
:rtype: str
"""
return self._text
@text.setter
def text(self, text):
"""
Sets the text of this SentimentAspect.
Aspect text.
:param text: The text of this SentimentAspect.
:type: str
"""
self._text = text
@property
def sentiment(self):
"""
Gets the sentiment of this SentimentAspect.
The highest-score sentiment for the aspect text.
:return: The sentiment of this SentimentAspect.
:rtype: str
"""
return self._sentiment
@sentiment.setter
def sentiment(self, sentiment):
"""
Sets the sentiment of this SentimentAspect.
The highest-score sentiment for the aspect text.
:param sentiment: The sentiment of this SentimentAspect.
:type: str
"""
self._sentiment = sentiment
@property
def scores(self):
"""
Gets the scores of this SentimentAspect.
Scores or confidences for each sentiment.
Example: `{\"positive\": 1.0, \"negative\": 0.0}`
:return: The scores of this SentimentAspect.
:rtype: dict(str, float)
"""
return self._scores
@scores.setter
def scores(self, scores):
"""
Sets the scores of this SentimentAspect.
Scores or confidences for each sentiment.
Example: `{\"positive\": 1.0, \"negative\": 0.0}`
:param scores: The scores of this SentimentAspect.
:type: dict(str, float)
"""
self._scores = scores
def __repr__(self):
return formatted_flat_dict(self)
def __eq__(self, other):
if other is None:
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
return not self == other