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Public Relation Data Science Project

🌟 Exciting! I’m thrilled to share my latest project in Data Science with you all! 🌟

The problem statement entails utilizing natural language processing techniques to automate sentiment analysis of textual customer feedback, aiming to predict satisfaction with a product for a multinational corporation’s public relations department.

Tasks involve data loading, cleaning, text preprocessing, and applying a Naive Bayes classifier to develop a model for automated sentiment classification.

🔗 Github source code
https://github.com/MajidHakimi/Data-Analysis/blob/master/Public_Relations_Department.ipynb

🔗 colab source code
https://colab.research.google.com/drive/1896_ONis3VbTnZbZ9-V-CP8Diih7S8VH?usp=sharing

🔗 Dataset
https://www.kaggle.com/sid321axn/amazon-alexa-reviews/kernels

 

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