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Examining Public Awareness of Ageist Terms on Twitter: Content Analysis
JMIR Aging 2023;6:e41448
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Topics and Sentiments of Public Concerns Regarding COVID-19 Vaccines: Social Media Trend Analysis
Given our tweet corpus V∈ F×N, we represented our emotion results as X∈ C×N, where C is number of emotion categories and N is the number of tweets. For each emotion, we computed an embedding vector Eci where i =1,…..,C – 1 and for each tweet, we computed an embedding vector Evj where j = 1,……N using the pretrained sentence BERT model. To populate our emotion matrix, we first computed the VADER sentiment score and assigned the score to the neutral category in our matrix.
J Med Internet Res 2021;23(10):e30765
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In investigating the patterns of social support exchange between OHC participants, Zhang and Yang identified four behaviors, including active giving, active receiving, passive giving, and passive receiving [7]. Empathy analysis of OHCs demonstrated that empathy develops through shared experiences [22], and empathy was perceived through effectiveness of information seeking rather than general social support [28].
JMIRx Med 2021;2(3):e27485
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Interaction Patterns of Nurturant Support Exchanged in Online Health Social Networking
J Med Internet Res 2012;14(3):e54
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