2. The method of claim 1 , further comprising scoring, by the computing device, terms for each of the plurality of media programs based on the trained model to rank topics for each media program.
2. The method of claim 1 , further comprising scoring, by the computing device, terms for each of the plurality of media programs based on the trained model to rank topics for each media program. 3. The method of claim 2 , wherein scoring comprises: determining, by the computing device, a term frequency for terms found in the textual information for each media program; and scoring, by the computing device, the topics for each media program based on the probability distribution of terms for the set of topics in the trained model and the corresponding term frequency.