36 lines
1013 B
Python
36 lines
1013 B
Python
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import json
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from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer
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def analyze_sentiment_vader(text, analyzer):
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"""
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Analyzes text using VADER and returns a dictionary with the results.
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Args:
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text (str): The text content to analyze.
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analyzer (SentimentIntensityAnalyzer): An instantiated VADER analyzer.
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Returns:
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dict: A dictionary containing the sentiment classification, compound score,
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and detailed scores (positive, neutral, negative).
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"""
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scores = analyzer.polarity_scores(text)
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compound_score = scores['compound']
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if compound_score >= 0.05:
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sentiment = 'Positive'
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elif compound_score <= -0.05:
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sentiment = 'Negative'
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else:
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sentiment = 'Neutral'
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return {
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'sentiment': sentiment,
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'score': compound_score,
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'details': scores
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}
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vader_analyzer = SentimentIntensityAnalyzer()
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def analyze(content):
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return analyze_sentiment_vader(content, vader_analyzer)
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