Emotion Sentiment Classifier

A machine learning pipeline for emotion and sentiment classification on text data, leveraging Logistic Regression and TF-IDF vectorization. The project includes dataset analysis, model training, evaluation, and interactive prediction using a trained model.

Features

• ✨ Fast TF-IDF + Logistic Regression: Efficient sentiment classification
• 🔄 Data Cleaning: Filters out sentences repeated more than 3 times to improve robustness
• 📈 Evaluation Metrics: Shows accuracy, classification report, and confusion matrix
• 💾 Model Persistence: Saves and loads the trained model using joblib
• ⌨️ Interactive CLI: Lets users input text and get emotion predictions in real-time
• 📝 Training Logs: Detailed logs saved with timestamps (Logs/Train.log)
• 🪶 Lightweight Pipeline: Clean, easy-to-run training and testing flow

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🌟 Overview

🧠 This project is an Emotion & Sentiment Classifier built using Python’s powerful scikit-learn library.
📜 It processes text data, removes overly repeated sentences, trains a Logistic Regression model on TF-IDF features, and visualizes the performance with a Confusion Matrix.
💬 An interactive console tool lets you input your own text and instantly see the model’s prediction.

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🚀 Features

• 📂 Dataset loading & analysis – Inspect data and explore emotion labels
• 🧹 Data cleaning – Remove sentences repeated more than 3 times to reduce bias
• ✍️ TF-IDF vectorization – Convert text into optimized numerical features
• 🤖 Emotion classification with Logistic Regression
• 📊 Model evaluation – Accuracy score, classification report, and a visual confusion matrix
• 💾 Model persistence – Save and load trained models using joblib
• 🖥 Interactive predictions – Real-time predictions from user input
• 📝 Logging – Keep track of training process

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📊 Evaluation

• Accuracy – Percentage of correct predictions on the test data
• Classification Report – Precision, recall, and F1-score for each emotion class
• Confusion Matrix – Heatmap visualization of prediction results

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⚙️ Installation

git clone https://github.com/AUX-441/emotion-sentiment-classifier.git
cd emotion-sentiment-classifier

python -m venv venv
source venv/bin/activate   # On Windows use: venv\Scripts\activate

pip install -r requirements.txt

# If requirements.txt is not available:
pip install pandas scikit-learn matplotlib seaborn joblib