Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum.
Rachel KornfieldPrathusha K SarmaDhavan V ShahFiona McTavishGina LanducciKlaren Pe-RomashkoDavid H GustafsonPublished in: Journal of medical Internet research (2018)
Differences in language use can distinguish messages disclosing recovery problems from other message types. Incorporating machine learning models based on language use allows real-time flagging of concerning content such that trained staff may engage more efficiently and focus their attention on time-sensitive issues.