User reviews have become a driving force in e-commerce transactions. However, these reviews are often not as clear as they appear to be and it is especially hard to categorize them. AI sentiment analysis can help to classify text reviews based on their underlying sentiment. This classification can be expressed as, for example, a star rating schema which allows easier categorization or review summaries.
Product managers of e-commerce sites or web pages that collect user feedback or reviews in textual form.
Support managers to
User reviews are stored in tabular form, one review per line either with or without existing rating category.
The use case is triggered every time a user submits a new review.
Each user review now has a sentiment score and a mapped star rating value.
This new information can now be used to: