in applications such as topic modeling, this can be interpreted as the co-occurrence of words in a document. then the eigenvalues of this empirical moment tensor can be interpreted as the probability of choosing a specific topic and each column of the factor matrix formula_161 corresponds to probabilities of words in the vocabulary in the corresponding topic.