Sentiment and Topic Modeling Analysis on Twitter Reveals Concerns over Cannabis-Containing Food after Cannabis Legalization in Thailand.

ABSTRACT:

Objectives

Twitter has been used to express a diverse range of public opinions about cannabis legalization in Thailand. The purpose of this study was to observe changes in sentiments after cannabis legalization and to investigate health-related topics discussed on Twitter.

Methods

Tweets in Thai and English related to cannabis were scraped from Twitter between May 1 and June 13, 2022, during cannabis legalization in Thailand. Sentiment and topic-modeling analyses were used to compare the content of tweets before and after legalization. Health-related topics were manually grouped into categories by their content and rated according to the number of corresponding tweets.

Results

We collected 21,242 and 6,493 tweets, respectively, for Thai and English search terms. A sha

SUBMITTER: Lerksuthirat T 

PROVIDER: S-EPMC10440203 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature