Improving topic modeling performance on social media through semantic relationships within biomedical terminology.

Improving topic modeling performance on social media through semantic relationships within biomedical terminology.

Topic modeling utilizes unsupervised machine learning to detect underlying themes within texts and has been deployed routinely to analyze social media for insights into healthcare issues. However, the inherent messiness of social media hinders the full realization of this technique's potential....

Full description

Saved in:
Bibliographic Details
Main Authors: Yi Xin, Monika E Grabowska, Srushti Gangireddy, Matthew S Krantz, V Eric Kerchberger, Alyson L Dickson, Qiping Feng, Zhijun Yin, Wei-Qi Wei
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0318702
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1371/journal.pone.0318702

Similar Items