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Under identical circumstances, we empirically discovered that BERT outperformed LIWC considerably (P=.03). We presented model interpretability and significance as an ablation study.
JMIRx Med 2024;5:e48519
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We evaluated our approach using the average F1-score for each user type individual (P), informed agency (I), and retailer (R). The F1 scores for the individual classes P, I, and R were 95%, 42%, and 73%, respectively. The descriptive statistics of the training set at the Twitter user account level used for this study, which involved semantic filtering [84] using the DAO, are shown in Table 2.
Architecture of the e Drug Trends project.
JMIR Public Health Surveill 2022;8(12):e24938
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Sheth et al [6,8] define knowledge-infused learning as “the exploitation of domain knowledge and application semantics to enhance existing artificial intelligence methods by infusing relevant conceptual information into a statistical and data-driven computational approach,” which in this study is integer linear programming (ILP).
JMIR Ment Health 2021;8(5):e20865
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Before analysis, tweets were preprocessed by removing non-American Standard Code for Information Interchange (ASCII) characters, capital letters, retweet indicators, numbers, screen handles (@username), punctuation, URLs, whitespaces, single characters such as p that do not convey any meaning about topics in the corpus, and stop words such as and, so, etc. A random sample of 1467 tweets was annotated as relevant versus not by 3 microbiology and immunology experts and used as the relevancy ground truth.
JMIR Public Health Surveill 2019;5(2):e11036
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“How Is My Child’s Asthma?” Digital Phenotype and Actionable Insights for Pediatric Asthma
Using the NHLBI guidelines given in Table 3 [20], we have developed thresholds for DPS (DPS-P and DPS-T) as shown in Table 4 (eg, if the DPS≥1, then the child’s asthma is very poorly controlled). The thresholds for the 3 control levels have been chosen to make the DPS-P and ACT scores comparable when they are available over the same period.
JMIR Pediatr Parent 2018;1(2):e11988
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“When ‘Bad’ is ‘Good’”: Identifying Personal Communication and Sentiment in Drug-Related Tweets
One-tailed t test statistic was used to determine which classifiers performed significantly better (P
Source classification (Approach 1) that used short URLs demonstrated good performance (Table 1 A). SVM algorithm applied to multiclass classification task achieved a macro average F-score of 0.7972, which was not significantly higher compared with LR (P=.09) or NB (P=.27) performance (Table 1 A).
JMIR Public Health Surveill 2016;2(2):e162
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