1. An apparatus comprising: a selection section for selecting a plurality of sample documents from a plurality of documents; a first parameter generation section for analyzing the plurality of sample documents using preset values as initial values to generate an initial parameter matrix expressing a probability that each of a plurality of words included in the plurality of sample documents is included in each of a plurality of topics; and a second parameter generation section for analyzing the plurality of documents by using each value included in the initial parameter matrix as an initial value to generate a parameter matrix expressing a probability that each of a plurality of words included in the plurality of documents is included in each of a plurality of topics, wherein the second parameter generation section includes: a division section for dividing the plurality of documents into a plurality of groups, the division section including: a pre-clustering section for clustering the plurality of documents into a plurality of clusters based on the initial parameter matrix; and an allocation section for allocating each of documents in the plurality of clusters to each of the plurality of groups, wherein the allocation section allocates the plurality of documents to the plurality of groups in such a manner that each of the plurality of clusters obtained by clustering the plurality of documents based on the initial parameter matrix is included in equal proportions among groups; a plurality of element parameter generation sections, each of which is provided to correspond to each of the plurality of groups to analyze a plurality of documents included in a corresponding group by using each value in the initial parameter matrix as an initial value in order to generate an element parameter matrix expressing a probability that each of a plurality of words included in the plurality of documents included in the corresponding group is included in each of a plurality of topics; and a synthesis section for synthesizing a plurality of element parameter matrices to generate the parameter matrix, wherein the synthesis section: feeds the calculated parameter matrix back to each of the plurality of element parameter generation sections, each of the plurality of element parameter generation sections uses, as an initial value, each value in the parameter matrix fed back to analyze a plurality of documents included in a corresponding group in order to generate the element parameter matrix again, synthesizes the plurality of element parameter matrices generated by using, as the initial value, each value in the parameter matrix fed back to generate the parameter matrix again, and feeds the calculated parameter matrix back to the division section, wherein the division section divides the plurality of documents into the plurality of groups again in such a manner that each of the plurality of clusters obtained by clustering the plurality of documents based on the parameter matrix fed back is included in equal proportions among groups, and each of the plurality of element parameter generation sections analyzes a plurality of documents included in a corresponding group divided again to generate the element parameter matrix.
1. An apparatus comprising: a selection section for selecting a plurality of sample documents from a plurality of documents; a first parameter generation section for analyzing the plurality of sample documents using preset values as initial values to generate an initial parameter matrix expressing a probability that each of a plurality of words included in the plurality of sample documents is included in each of a plurality of topics; and a second parameter generation section for analyzing the plurality of documents by using each value included in the initial parameter matrix as an initial value to generate a parameter matrix expressing a probability that each of a plurality of words included in the plurality of documents is included in each of a plurality of topics, wherein the second parameter generation section includes: a division section for dividing the plurality of documents into a plurality of groups, the division section including: a pre-clustering section for clustering the plurality of documents into a plurality of clusters based on the initial parameter matrix; and an allocation section for allocating each of documents in the plurality of clusters to each of the plurality of groups, wherein the allocation section allocates the plurality of documents to the plurality of groups in such a manner that each of the plurality of clusters obtained by clustering the plurality of documents based on the initial parameter matrix is included in equal proportions among groups; a plurality of element parameter generation sections, each of which is provided to correspond to each of the plurality of groups to analyze a plurality of documents included in a corresponding group by using each value in the initial parameter matrix as an initial value in order to generate an element parameter matrix expressing a probability that each of a plurality of words included in the plurality of documents included in the corresponding group is included in each of a plurality of topics; and a synthesis section for synthesizing a plurality of element parameter matrices to generate the parameter matrix, wherein the synthesis section: feeds the calculated parameter matrix back to each of the plurality of element parameter generation sections, each of the plurality of element parameter generation sections uses, as an initial value, each value in the parameter matrix fed back to analyze a plurality of documents included in a corresponding group in order to generate the element parameter matrix again, synthesizes the plurality of element parameter matrices generated by using, as the initial value, each value in the parameter matrix fed back to generate the parameter matrix again, and feeds the calculated parameter matrix back to the division section, wherein the division section divides the plurality of documents into the plurality of groups again in such a manner that each of the plurality of clusters obtained by clustering the plurality of documents based on the parameter matrix fed back is included in equal proportions among groups, and each of the plurality of element parameter generation sections analyzes a plurality of documents included in a corresponding group divided again to generate the element parameter matrix. 6. The apparatus according to claim 1 , further comprising a setting section for setting the number of selected sample documents plural times while increasing the number of selections in a step-by-step manner, wherein the selection section selects sample documents corresponding in number to a number of selections from the plurality of documents each time the number of selections is set, the first parameter generation section analyzes the plurality of sample documents selected each time the number of selections is set to generate the initial parameter and, upon setting the number of selections from the second time on, the first parameter generation section analyzes the plurality of sample documents selected by using, as an initial value, each value included in the previously generated initial parameter matrix to generate the initial parameter matrix, and the second parameter generation section analyzes the plurality of documents by using, as the initial value, each value included in the initial parameter matrix generated by setting the number of selections a predetermined number of times to generate the parameter matrix.