This paper focuses on analyzing and studying digital capitalism using a textual analysis model in the context of Marxist political economy. The magnitude of the angle between text vectors can be used to measure the similarity between digital capitalism and political economy. An iterative computational approach is employed to address the issue of overfitting in text. Constructing a BERT model involves formulating a self-attentive mechanism and setting up an embedding layer. The direction of digital capitalism’s ideology in the political economy context is examined about its characteristics. The results show that digital labor is more secretive regarding office location than traditional labor, with a secrecy rate of 60%. Unpaidness, large quantity, and potential value dominate data characteristics, with 90% unpaid data.