Abstract: A method to predict that a text file contains source code written in one or more of a plurality of source code programming languages involves creating a feature vector comprising a plurality of values, wherein each value represents a corresponding piece of text found in the text file. Then, during an inference workflow with a neural network model, embedding representation values identified for each value in the feature vector. An overall embedding representation value is calculated for the feature vector based on the obtained embedding representation values. A plurality of class label prediction values is then created, based on the overall embedding representation value and a plurality of class labels corresponding to the plurality of source code programming languages. Finally, a prediction is made as to the source code programming language in which the source code is written in the text file based on the plurality of class label prediction values.