Consumer perceptions of telehealth for mental health or substance abuse: a Twitter-based topic modeling analysis.

ABSTRACT:

Objective

The objective of this study is to understand the primary topics of consumer discussion on Twitter associated with telehealth for mental health or substance abuse for prepandemic versus during-pandemic time-periods, using a state-of-the-art machine learning (ML) natural language processing (NLP) method.

Materials and methods

The primary methodological phases of this project were: (1) collecting, cleaning, and filtering data (tweets) from January 2014 to June 2021, (2) describing the final corpus, (3) running and optimizing Bidirectional Encoder Representations from Transformers (BERT; using BERTopic in Python) models, and (4) human refinement of topic model results and thematic classification of topics.

Results

The number of tweets in this context increased b

SUBMITTER: Baird A 

PROVIDER: S-EPMC9047171 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature