Classification of Yelp Reviews using Sentiment Analysis
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Discover how to classify Yelp reviews using sentiment analysis. Learn how to apply machine learning models to categorize reviews as positive, negative, or neutral, and gain insights into customer satisfaction and business reputation.
At a Glance
Sentiment Analysis has become a very popular tool in extracting subjective information from the social media. It can help businesses to understand their brand, product or service better. In this Guided Project, you will be introduced to several Natural Language Processing Techniques to help you derive some meaning from yelp business reviews, as well as to build and test a classification model that can divide these reviews based on their polarities.
Learn by Doing
A Look at the Project Ahead
- Explore yelp business reviews dataset to perform text cleaning, vectorization, and classification
- Use scikit-learn library tools to extract some meaning from the sentiments
- Create a model to classify reviews based on their positive or negative sentiments
What You’ll Need
- Basic Python knowledge
Instructor
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