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Generated entity-sentiment samples with NO response handling
# -*- coding: utf-8 -*-
#
# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# DO NOT EDIT! This is a generated sample ("Request", "entity_sentiment_text_simple")
# To install the latest published package dependency, execute the following:
# pip install google-cloud-language
import sys
# [START language_entity_sentiment_text]
from google.cloud import language_v1
from google.cloud.language_v1 import enums
def sample_analyze_entity_sentiment():
"""Analyze entities and sentiment of a text string"""
# [START language_entity_sentiment_text_core]
client = language_v1.LanguageServiceClient()
content = 'A happy President Kennedy celebrated at the White House Saturday.'
type_ = enums.Document.Type.PLAIN_TEXT
document = {'content': content, 'type': type_}
response = client.analyze_entity_sentiment(document)
print(response)
# [END language_entity_sentiment_text_core]
# [END language_entity_sentiment_text]
def main():
import argparse
parser = argparse.ArgumentParser()
args = parser.parse_args()
sample_analyze_entity_sentiment()
if __name__ == '__main__':
main()
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