In this talk, we will discover how NLP techniques and models are harnessed to unlock the hidden insights within user-generated reviews for the review helpfulness prediction problem. We will explore the advanced algorithms that extract valuable information, sentiment, and context from text data, ultimately aiding in the prediction of review helpfulness. This talk is your gateway to understanding the pivotal role of NLP in Review Helpfulness Prediction and could reshape the way we evaluate and harness user feedback in real-world applications.