🚀 Diving into NLP with a Fun Twist: Humor Detection

Hey AI/ML enthusiasts! I’m documenting my journey in artificial intelligence and machine learning through a series of primers.

Today, I’m excited to share an NLP Primer focused on humor detection using the ColBERT dataset from Kaggle.

Highlights

• Objective: Detect humor in text.

• Methods: Explored text preprocessing, vectorization, and compared Naïve Bayes, Logistic Regression, and Decision Trees.

• Key Insights: Effective preprocessing and vectorization are crucial for model accuracy.

Why You’ll Love This

If you’re curious about how machines can understand humor, this project offers a fun and practical introduction to NLP. It’s a great way to see how different techniques impact model performance while laying the groundwork for more advanced NLP projects.

Explore More

Dive into the details in my NLP primer on GitHub! 🤖💬

Reach out to me at dipti.aswath@gmail.com for any questions.

#NLP #MachineLearning #HumorDetection #TextClassification