Yelp Review NLP Project

NLPalate is a team project from Le Wagon data science bootcamp course

It's designed and developed an interactive web application to analyze and visualize Yelp review data.

Leveraged natural language processing (NLP) techniques to extract insights from customer feedback, providing actionable suggestions for business improvement.

View the App

Skills

• Python: The programming language for data analysis.
• Pandas: A library for data processing and analysis.
• Scikit-learn（LDA,TF-IDF）: A library for natural language processing and sentiment analysis.
• Streamlit: A framework for data applications.

My Role

• Setup the streamlit cloud to host the website on cloud
• Visualize the data on streamlit
• Utilize chatgpt-api for the ai recommendation feature
• Built data scheme structure

Features

• The tool performs sentiment analysis to categorize reviews into positive and negative sentiments, generates word clouds to display frequently mentioned keywords, and employs topic modeling to discern prevalent themes in the feedback.
• Implemented a custom-designed dashboard using Streamlit, ensuring a user-friendly experience.
• This project highlights my proficiency in data science, particularly in manipulating and presenting large datasets, as well as my ability to translate complex analytical outcomes into straightforward business insights.

Remark

To see the analytics data, enter the following restaraunt name in the text box field on the website.

• Luke
• Gumbo Shop
• Commander's Palace
• Royal House
• Felix's Restaurant & Oyster Bar
• Cochon
• Mother's Restaurant
• Oceana Grill
• Acme Oyster House
• Ruby Slipper