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# coding: utf-8 # Copyright (c) 2016, 2026, 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
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