"""Demonstrates how to make a simple call to the Natural Language API."""
import argparse
from google.cloud import language_v1
def print_result(annotations):
score = annotations.document_sentiment.score
magnitude = annotations.document_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
def analyze(movie_review_filename):
"""Run a sentiment analysis request on text within a passed filename."""
client = language_v1.LanguageServiceClient()
with open(movie_review_filename, "r") as review_file:
# Instantiates a plain text document.
content = review_file.read()
document = language_v1.Document(content=content, type_=language_v1.Document.Type.PLAIN_TEXT)
annotations = client.analyze_sentiment(request={'document': document})
# 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)
