def analyze_sentiment(sentence):
try:
result = sentiment_analyzer.get_sentiment(sentence, classifier)
print(f"sentiment: {result}")
return jsonify({"sentiment": result})
except Exception as e:
print(e)
return jsonify({"sentiment": "An error occured. Exception: " + e})
def get_sentiment(self, query_article):
"""
Processes query article for sentiment information.
Args:
query_article = string, article or words being queried
Returns:
sentiment information = dict, positive, neutral and
negative sentence count.
"""
return sentiment_analyzer.get_sentiment(query_article)
def test_smoke(self):
"""
Basic Smoke Test
Args:
self (object): Reference to the class
Returns:
null
"""
my_sentiment = sentiment_analyzer.get_sentiment("This is a sentence.")
self.assertTrue(my_sentiment is not None)
def test_neutral_only(self):
"""
Test a neutral sentence
Args:
self (object): Reference to the class
Returns:
null
"""
my_sentiment = sentiment_analyzer.get_sentiment("The sky is blue.")
self.assertTrue((my_sentiment["Overall_Sentiment"] == 'Neutral') &
(my_sentiment["Positive_Sentences"] == 0) &
(my_sentiment["Negative_Sentences"] == 0) &
(my_sentiment["Neutral_Sentences"] == 1) &
(my_sentiment["Total_Sentences"] == 1))
def test_positive_only(self):
"""
Test a positive sentence
Args:
self (object): Reference to the class
Returns:
null
"""
my_sentiment = sentiment_analyzer.get_sentiment("I am happy.")
self.assertTrue((my_sentiment["Overall_Sentiment"] == 'Positive') &
(my_sentiment["Positive_Sentences"] == 1) &
(my_sentiment["Negative_Sentences"] == 0) &
(my_sentiment["Neutral_Sentences"] == 0) &
(my_sentiment["Total_Sentences"] == 1))
def test_mixed_sentiments(self):
"""
Test a text with positive, negative and neutral sentences.
Args:
self (object): Reference to the class
Returns:
null
"""
my_sentiment = sentiment_analyzer.get_sentiment(
"I am happy. I am sad. The sky is blue.")
self.assertTrue((my_sentiment["Overall_Sentiment"] == 'Neutral') &
(my_sentiment["Positive_Sentences"] == 1) &
(my_sentiment["Negative_Sentences"] == 1) &
(my_sentiment["Neutral_Sentences"] == 1) &
(my_sentiment["Total_Sentences"] == 3))