I want to know if text2vec package can be used for multilabel classification like python's BinaryRelevance in skmultilearn.problem_transform I'm currently referring to the pipeline documented at: http://text2vec.org/vectorization.html
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You can use text2vec to create document-term-matrix (dtm). To create dtm, you can use http://text2vec.org/vectorization.html. When your dtm matrix is ready, you can use them for multi-label classification. For classification, xgboost model is one of the good models, which is discussed in https://rpubs.com/mharris/multiclass_xgboost.
Hopefully helps.
Please let me know if you need further explanation.