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import tweepy from textblob import TextBlob # Twitter API credentials consumer_key = 'your_consumer_key' consumer_secret = 'your_consumer_secret' access_token = 'your_access_token' access_token_secret = 'your_access_token_secret' # Authenticate with Twitter API auth = tweepy.OAuthHandler(consumer_key, consumer_secret) auth.set_access_token(access_token, access_token_secret) api = tweepy.API(auth) # Function to analyze sentiment using TextBlob def analyze_sentiment(text): analysis = TextBlob(text) return analysis.sentiment.polarity # Function to reply to tweets def reply_to_tweets(query, num_tweets): tweets = tweepy.Cursor(api.search, q=query, lang='en').items(num_tweets) for tweet in tweets: user = tweet.user.screen_name tweet_id = tweet.id tweet_text = tweet.text # Analyze sentiment sentiment_score = analyze_sentiment(tweet_text) # Reply based on sentiment if sentiment_score > 0: reply = "I'm glad you're feeling positive! 😊" elif sentiment_score < 0: reply = "I'm sorry to hear that you're feeling down. 😢" else: reply = "Neutral vibes! 😐" # Reply to the tweet api.update_status(status=f"@{user} {reply}", in_reply_to_status_id=tweet_id) # Example usage query = 'AI chatbot' num_tweets = 5 reply_to_tweets(query, num_tweets)
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