Disclosed embodiments may include a method that may include receiving a corpus of unlabeled text documents, generating, using the first machine learning model, a first classification of each unlabeled text document in the corpus of unlabeled text documents as positive or negative, defining, using the first machine learning model and based on the first classification, a first subset of the unlabeled text documents and a second subset of the unlabeled text documents, generating, using the second machine learning model, a second classification of each unlabeled text document in the first subset of the unlabeled text documents as positive or negative, generating, using the third machine learning model, a third classification of each unlabeled text document in the second subset of the unlabeled text documents as positive or negative, and modifying the first classification, based on the second classification and the third classification, to create a fourth classification.