e.g. mhealth
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Importantly, it was only by working together that the analytic team and SAB were able to produce an LGBTQ+ term dictionary with a pairwise agreement of 95%. This finding highlights the importance of centering the LGBTQ+ community in research involving LGBTQ+ cancer survivor outcomes, even if the chosen methodology may seem to not align with community-engaged equity-based methods, such as web-scraping and multivariate modeling.
JMIR Cancer 2023;9:e51605
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The BING dictionary was first designed around the domain of e-commerce customer reviews [12]; AFINN was created for synthesizing Twitter microblogs [13]; and NRC was a large, crowdsourced lexicon geared toward a more generalized domain [14]. We reported the number of unique words in each lexicon and the number of unique words labeled by each lexicon within our text data.
JMIR Med Educ 2023;9:e41953
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The validation process indicated that the medical dictionary could identify health-related conversations in 31.2% (341/1092) of posts (Table 2). Specifically, 20.4% (223/1092) of posts were identified as posts related to a health-related motivation for cannabis use, while 10.8% (118/1092) of posts were identified as posts related to a health-related consequence from cannabis use.
JMIR Form Res 2022;6(2):e35027
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