< Description />
This project analyses wine reviews using Natural Language Processing (NLP) techniques to explore and classify wine data. It identifies major wine-producing countries and top-rated wines, analyses the best-rated wines by price, and explores common descriptions for high-rated wines. Using Python, Pandas, Scikit-learn, and NLTK, the project focuses on data preprocessing, exploratory analysis, sentiment analysis, and machine learning model development. The dataset, sourced from Kaggle’s Winemag Data 130k, is used to build models for predicting wine quality and extracting insights from wine reviews.
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Hello, I’m Yashasree Chinnareddy, a passionate B.Tech student in Computer Science Engineering at VIT-AP University, specializing in Artificial Intelligence and Machine Learning. Throughout my academic journey, I’ve been fortunate to dive deep into various impactful projects. Fro…