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#!/usr/bin/env python
# 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 full_tutorial_script]
# [START import_libraries]
import argparse
import io
from googleapiclient import discovery
from oauth2client.client import GoogleCredentials
# [END import_libraries]
def print_sentiment(filename):
"""Prints sentiment analysis on a given file contents."""
# [START authenticating_to_the_api]
credentials = GoogleCredentials.get_application_default()
service = discovery.build('language', 'v1', credentials=credentials)
# [END authenticating_to_the_api]
# [START constructing_the_request]
with io.open(filename, 'r') as review_file:
review_file_contents = review_file.read()
service_request = service.documents().analyzeSentiment(
body={
'document': {
'type': 'PLAIN_TEXT',
'content': review_file_contents,
}
}
)
response = service_request.execute()
# [END constructing_the_request]
# [START parsing_the_response]
score = response['documentSentiment']['score']
magnitude = response['documentSentiment']['magnitude']
for n, sentence in enumerate(response['sentences']):
sentence_sentiment = sentence['sentiment']['score']
print('Sentence {} has a sentiment score of {}'.format(n,
sentence_sentiment))
print('Overall Sentiment: score of {} with magnitude of {}'.format(
score, magnitude))
# [END parsing_the_response]
# [START running_your_application]
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument(
'movie_review_filename',
help='The filename of the movie review you\'d like to analyze.')
args = parser.parse_args()
print_sentiment(args.movie_review_filename)
# [END running_your_application]
# [END full_tutorial_script]
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