SentimentAnalyzer.py
1.32 KB
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import argparse
import os
from google.cloud import language_v1
BASE_DIR = os.path.dirname(os.path.realpath(__file__))
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = BASE_DIR + "/artful-fortress-316201-f135fd520d56.json"
def GetResult(annotations):
score = annotations.document_sentiment.score
magnitude = annotations.document_sentiment.magnitude
tot = 0
positive = 0
negative = 0
neutral = 0
for index, sentence in enumerate(annotations.sentences):
sentence_sentiment = sentence.sentiment.score
if sentence_sentiment > 0:
positive += 1
elif sentence_sentiment < 0:
negative += 1
else:
neutral += 1
tot += 1
return tot, positive, neutral, negative
def analyze(movie_review_filename):
client = language_v1.LanguageServiceClient()
try:
with open(movie_review_filename, "r", encoding='utf-8-sig') 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})
return GetResult(annotations)
except:
return 0, 0, 0, 0
def StartSentimentAnalysis():
return analyze("data.txt")