DLSEI 3.0 Cohort 3 registration has been closed.

Python NLTK for Beginners: Customer Satisfaction Analysis

Included with DLSEI 3.0

Guided Project

Learn, practice, and apply job-ready skills with expert guidance

4.75★

Rating out of 5

Guided project Level

Recommended experience

2.00 Hours

Learn at your own pace

Data Science

Domain

About this guided project

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.

What skills will you gain?

Artificial Intelligence and Machine Learning (AI/ML)

Data Analysis

Data Mining

Natural Language Processing

Unstructured Data

Text Mining

Customer Insights

Strategic Marketing

Customer Analysis

Market Analysis

Market Research