topic modelling

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Topic-Based Clustering Model for Identifying Segment-Level Drivers of Star Ratings

Creators: Sunghoon Kim, Sanghak Lee, and Robert McCulloch
Publication Date: 2024
Creators: Sunghoon Kim, Sanghak Lee, and Robert McCulloch

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.

BERTopic – Neural Topic Modelling Python Library

Creators: Maarten Grootendorst
Publication Date: 2024
Creators: Maarten Grootendorst

BERTopic is an open-source Python library for topic modelling that leverages transformer-based language models (such as BERT) and clustering techniques to discover coherent topics in large text corpora. It enables researchers to extract and analyse thematic structures from unstructured text data.

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