runsentiment.py

# sentiment analyser, specify model
analyzer = SentimentAnalyzer('cardiffnlp/twitter-roberta-base-sentiment-latest')
# Get sentiment analysis
tweets_with_sentiment = analyzer.get_sentiment(tweets_df)

# emotion analyser, specify model
analyzer = SentimentAnalyzer('cardiffnlp/twitter-roberta-base-emotion', emotion=True)
# Get emotion analysis
tweets_with_sentiment = analyzer.get_sentiment(tweets_with_sentiment)

# Generate emotion and sentiment distributions at the user_id level

sentiment_ratios = pd.crosstab(
    index=tweets_with_sentiment['user_id'],
    columns= tweets_with_sentiment['sentiment'],
    normalize='index'
).reset_index()


emotion_ratios = pd.crosstab(
    index=tweets_with_sentiment['user_id'],
    columns= tweets_with_sentiment['emotion'],
    normalize='index'
).reset_index()


ratios_emotion_sentiment = emotion_ratios.merge(sentiment_ratios, on='user_id')