Case Study

Application of Text Classification on Clothing Reviews

The case study focuses on the concept of Text Analysis, Text Pre-Processing and numerous Text Classification models to understand Customer Reviews on women clothing e-commerce and to classify whether each review consists of positive, negative, or neutral sentiment.

Application of Text Classification on Women's E-Commerce Clothing Reviews
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    Difficulty: Advanced

    Designed for those with a technical background or industry experience

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    Duration: Approximately 3 hours

Case Overview

  • The case familiarizes the learner with application of Text-Analytics techniques for retail professionals to  clean, visualize and build a text classification model on clothing reviews.
  • Conceptual understanding on how to apply EDA techniques such as Word Cloud on Text data to identify the most frequently occurring words in clothing review and their importance.
  • The case helps in understanding various text mining operations to derive useful insights from the text data and draw conclusion from them.
  • The case helps the learner to apply Text Classification model to analyze the customer reviews on women clothing e-commerce.

What’s included

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Access this case study for life once completed

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Desktop Only

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Skills You Will Learn

Text Visualization

Front-end development

Information Retrieval through Text Analytics

Text Pre-processing

Text Classification Model

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