... algorithm takes as input the number of latent categories hypothesized, i.e., the num- ber of values of L, and produces estimates of the parameters. For a description of this process, see Goodman ... and Stutz, 1996). The form of the latent class model is that of naive Bayes: the observed variables are all con- ditionally independent of one another, given the value of the latent variable. ... (Hovy, 1987). In summarization, sub- jectivity judgments could be included in doc- ument profiles, to augment automatically pro- duced document summaries, and to help the user make relevance...