To accomplish this, step 1,614 messages of each and every relationships classification were used: the entire subset of one’s number of informal dating seekers‘ messages and you can an equally large subset of 10,696 texts on the much time-identity relationships hunters
The expression-centered classifier lies in the new classifier strategy out-of Van der Lee and you may Van den Bosch (2017) (pick plus Aggarwal and you can Zhai, 2012). Half dozen more host reading methods can be used: linear SVM (support vector servers), Unsuspecting Bayes, and you will four variations off forest-built formulas (choice forest, random tree, AdaBoost, and you may XGBoost). Conversely which have LIWC, so it open-language strategy does not manage one preassembled term record however, spends aspects from the reputation texts as head enter in and you will ingredients content-specific enjoys (phrase letter-grams) about texts that will be distinctive getting both of the two relationships trying organizations.Continue reading