Google 텍스트 감정 분석

구글 감정 분석 가이드 문서를 보고 따라했다.

https://cloud.google.com/natural-language/docs/sentiment-tutorial?hl=ko

Install Cloud Natural Language API

pip install --upgrade google-cloud-language
"""Demonstrates how to make a simple call to the Natural Language API."""

import argparse

from google.cloud import language
from google.cloud.language import enums
from google.cloud.language import types

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.LanguageServiceClient()

    with open(movie_review_filename, 'r') as review_file:
        # Instantiates a plain text document.
        content = review_file.read()

    document = types.Document(
        content=content,
        type=enums.Document.Type.PLAIN_TEXT)
    annotations = client.analyze_sentiment(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)

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