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.
Python NLTK for Beginners: Customer Satisfaction Analysis
Python NLTK for Beginners: Customer Satisfaction Analysis
Instructor: Ahmad Varasteh
Sponsored by FutureX
Learn, practice, and apply job-ready skills with expert guidance
Beginner level
No prior experience required
2 hours
Learn at your own pace
Hands-on learning
What you'll learn
Clean and Preprocess text data
Perform Sentimental Analysis
Understand tokens in Natural Language Processing
Skills you'll practice
- Data Science
- Computer Science
- Text Mining
- Artificial Intelligence and Machine Learning (AI/ML)
- Marketing Planning
- Business Research
- Marketing Strategy and Techniques
- Strategic Marketing
- Unstructured Data
- Business Strategy
- Market Analysis
- Data Mining
- Marketing Management
- Customer Analysis
- Market Intelligence
- Market Research
- Customer Insights
- Advanced Analytics
- Natural Language Processing
- Data Analysis
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Loading the customer reviews dataset
Clean and preprocess the reviews
Tokenize the reviews and removing the stopwords
Practice Task - Text Cleaning and Preprocessing
Exploring the tokens and product categories
Extracting the adjectives in the reviews
Finding the sentiment of each review
Challenge Task - Customer Review Analysis
8 project images
Instructor
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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