# Perform sentiment analysis on the tweets and plot the results
from textblob import TextBlob
import matplotlib.pyplot as plt
import seaborn as sns

# Function to get the sentiment polarity

def get_sentiment(text):
    return TextBlob(text).sentiment.polarity

# Apply the function to the tweet column

df['sentiment'] = df['tweet'].apply(get_sentiment)

# Plot the sentiment distribution
plt.figure(figsize=(10, 6))
sns.histplot(df['sentiment'], bins=30, kde=True)
plt.title('Sentiment Distribution of Tweets')
plt.xlabel('Sentiment Polarity')
plt.ylabel('Frequency')
plt.show()

print('Sentiment analysis and plot completed.')