code02.py

"""Demonstrates how to make a simple call to the Natural Language API."""

import argparse

from google.cloud import language


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)