Topic-Based Clustering Model for Identifying Segment-Level Drivers of Star Ratings
Creators:
Sunghoon Kim, Sanghak Lee, and Robert McCulloch
Publication Date:
2024
Data Category:
Dataset Description:
This GitHub repository contains the code and data for the study "A Topic-Based Segmentation Model for Identifying Segment-Level Drivers of Star Ratings from Unstructured Text Reviews" (Kim, Lee & McCulloch, 2024, Journal of Marketing Research). It includes the implementation of a topic-based clustering model that segments consumers based on the topics they discuss in text reviews, enabling identification of the segment-level drivers behind star ratings on platforms such as Amazon or Yelp.
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