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, 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.
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- Level Beginner
- المدة 3 ساعات hours
- الطبع بواسطة Coursera Project Network
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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.الوحدات
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- Python NLTK for Beginners: Customer Satisfaction Analysis
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This beginner-friendly course, "Python NLTK for Beginners: Customer Satisfaction Analysis," offers a hands-on approach to analyzing customer reviews for an online women's clothing shop. Over 2 hours, learners will use Python with pandas for data manipulation and the NLTK module for text preprocessing and sentiment analysis. Ideal for those with prior Python and pandas knowledge, this course focuses on Natural Language Processing (NLP) and is available for free on Coursera. Gain practical experience in evaluating customer sentiment and text data analysis.
Ahmad Varasteh