Abstract: A method for training a machine learning model for categorizing data is provided. The method comprising receiving labeled positive training data and negative training data. The positive training data and negative training data are lemmatized and then vectorizing the lemmatized into a vector space. A machine learning model is trained with the vectorized positive training data and negative training data to identify a new category of data from existing categories in the positive training data and negative training data.