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# Copyright 2016, Google, Inc.
# 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
#
# http://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.
# [START sentiment_tutorial]
"""Demonstrates how to make a simple call to the Natural Language API."""
# [START sentiment_tutorial_import]
import argparse
from google.cloud import language
# [END sentiment_tutorial_import]
def print_result(annotations):
score = annotations.sentiment.score
magnitude = annotations.sentiment.magnitude
for index, sentence in enumerate(annotations.sentences):
sentence_sentiment = sentence.sentiment.score
print('Sentence {} has a sentiment score of {}'.format(
index, sentence_sentiment))
print('Overall Sentiment: score of {} with magnitude of {}'.format(
score, magnitude))
return 0
print('Sentiment: score of {} with magnitude of {}'.format(
score, magnitude))
return 0
def analyze(movie_review_filename):
"""Run a sentiment analysis request on text within a passed filename."""
language_client = language.Client()
with open(movie_review_filename, 'r') as review_file:
# Instantiates a plain text document.
document = language_client.document_from_html(review_file.read())
# Detects sentiment in the document.
annotations = document.annotate_text(include_sentiment=True,
include_syntax=False,
include_entities=False)
# Print the results
print_result(annotations)
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description=__doc__,
formatter_class=argparse.RawDescriptionHelpFormatter)
parser.add_argument(
'movie_review_filename',
help='The filename of the movie review you\'d like to analyze.')
args = parser.parse_args()
analyze(args.movie_review_filename)
# [END sentiment_tutorial]