According to Shopify, by 2023, 30% of total market revenue will be generated through online sales in the fashion segment. It has become increasingly important to understand customers through automated analytics. This is where analysis such as sentiment analysis and topic modelling can come in useful. This is where analysis using unsupervised techniques such as sentiment analysis and topic modelling can come in useful. These analysis could be conducted based on different launch on e-commerce sites or specific types of clothing. In this analysis, the focus was divided on type of clothing from this site.
Using dataset from Kaggle Womens' E-Commerce clothing reviews, some basic exploration conducted in the preprocessing notebook.
These are some analysis conducted and how its useful in understanding users opinions:
Type of Analysis | Purpose |
---|---|
Sentiment Analysis | Understand customers opinion on any item |
Topic Modelling | Grasp the broader picture of the customers opinion on any department |
Correlation of Terms | Get the aggregated opinion of customers on how to improve products |