Examining the Supports and Advice That Women With Intimate Partner Violence Experience Received in Online Health Communities: Text Mining Approach.
Vivian HuiMalavika EbyRose Eva ConstantinoHeeyoung LeeJamie ZelaznyJudy C ChangDaqing HeYoung Ji LeePublished in: Journal of medical Internet research (2023)
OHCs can extract the linguistic and posting features to understand the help-seeking result among women with IPV experiences. Features identified in this corpus reflected the differences found between the 2 groups. This is the first study that leveraged Linguistic Inquiry and Word Count to shed light on generating predictive features from unstructured text in OHCs, which could guide future algorithm development to detect help-seeking results within OHCs effectively.