Created
January 14, 2019 22:31
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Generated entity-sentiment samples with NO response handling
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# -*- 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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