Our client, a large Amazon E-commerce seller, who frequently launches new products and seeks continuous improvement for existing ones.
The client recognized the value of their own reviews and those of their competitors to understand customer pain points. However, the manual process of extracting insights from reviews is a significant challenge.
This case study presents a solution that effectively automates the extraction of valuable insights from unstructured text data.
- Scalable Solution: Frequent product launches and iterations demanded an efficient and automated approach to extract valuable information from customer reviews.
- Multilingual Support: The solution required the ability to perform topic extraction and sentiment analysis on unstructured text data across multiple languages.
- Limited Training Data: The absence of training data is an additional challenge in developing an effective solution.
What’s a Rich Text element?
The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.
Static and dynamic content editing
A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!
How to customize formatting for each rich text
Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.