🐦 Twitter Sentiment Analysis: Vaccination Tweets 💉 🎯 Objective: Analyze sentiments in tweets related to vaccination using NLP and machine learning techniques.

📊 Data Overview: 📂 Dataset: Kaggle's vaccination tweets dataset with 11,020 tweets. 🔑 Key Columns: text (tweet content), sentiment (Positive, Neutral, Negative). 🛠️ Preprocessing: Removed URLs, mentions, hashtags, and punctuation. Tokenized and removed stopwords. Applied stemming.

📈 Sentiment Analysis: 📏 Polarity Calculation: Used TextBlob to determine the sentiment polarity. 🤖 Classification: Logistic Regression model. 📊 Test Accuracy: 84.64% 🔍 Best Parameters: C=10

📊 Visualization: Word clouds for positive, negative, and neutral tweets. Confusion matrix for model evaluation.