Advanced topic modeling with large language models: analyzing social media content from dementia caregivers.

ABSTRACT:

Background and objectives

While traditional topic modeling methods have been applied to analyze social media content from dementia caregivers, they often struggle with semantic understanding and coherent topic generation. This study explores the direct application of large language models (LLMs) for topic modeling of caregiver tweets, aiming to leverage their advanced semantic comprehension capabilities.

Research design and methods

We analyzed 231 870 tweets from dementia caregivers after preprocessing using ChatGPT as the primary topic modeling tool. To address context length limitations, we developed a 2-stage approach: first splitting the dataset into 226 batches of 1000 tweets each for initial topic extraction, then combining these results through a second-stage prompt f

SUBMITTER: He W 

PROVIDER: S-EPMC12742845 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature