Python NLTK for Beginners: Customer Satisfaction Analysis
In this 2-hour course, we'll learn to analyze customer reviews for an online women's clothing shop. Our task is determining which clothing category (Tops,...
By Ahmad Varasteh on Coursera
About This Course
In this 2-hour course, we'll learn to analyze customer reviews for an online women's clothing shop. Our task is determining which clothing category (Tops, Bottoms, Jackets, Dresses, or Intimate) has higher customer satisfaction. The data consists of text reviews, and we'll use Python with pandas for data manipulation and the NLTK module for text preprocessing and sentiment analysis. Prior knowledge of Python and pandas is required. By the end of the course, learners will gain practical experience in text data analysis and customer sentiment evaluation. This project is aimed at learners interested in Natural Language Processing (NLP) using Python.
Topics Covered
Frequently Asked Questions
How much does Python NLTK for Beginners: Customer Satisfaction Analysis cost?
Visit the Python NLTK for Beginners: Customer Satisfaction Analysis course page for current pricing and available discounts.
Who teaches Python NLTK for Beginners: Customer Satisfaction Analysis?
Python NLTK for Beginners: Customer Satisfaction Analysis is taught by Ahmad Varasteh, Coursera.
What skill level is Python NLTK for Beginners: Customer Satisfaction Analysis for?
This course is designed for beginner learners.
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