14. A slave node configured as a computer accesible to a data network, the slave node comprising: an information receiving unit, configured to receive global initial statistical information sent over the data network by a master node, wherein the global initial statistical information comprises: text subset information divided in advance according to a text set, preset initial hyper-parameter information of a hierarchical Latent Dirichlet Allocation model, a pre-established nested Chinese restaurant process prior of the text set, hierarchical topic path information of a document, document-topic count matrix information, and topic-word count matrix information; a topic allocating unit, configured to, according to a hierarchical topic path of each document, reallocate a topic for each word in each document through Gibbs sampling; a path allocating unit, configured to, according to the nested Chinese restaurant process prior, and an updated document-topic count matrix and topic-word count matrix, reallocate a hierarchical topic path for each document through Gibbs sampling; and an information sending unit, configured to send local statistical information to the master node, wherein the local statistical information comprises: document-topic count matrix information and topic-word count matrix information and hierarchical topic path information of each document which are updated and are of a present slave node.
14. A slave node configured as a computer accesible to a data network, the slave node comprising: an information receiving unit, configured to receive global initial statistical information sent over the data network by a master node, wherein the global initial statistical information comprises: text subset information divided in advance according to a text set, preset initial hyper-parameter information of a hierarchical Latent Dirichlet Allocation model, a pre-established nested Chinese restaurant process prior of the text set, hierarchical topic path information of a document, document-topic count matrix information, and topic-word count matrix information; a topic allocating unit, configured to, according to a hierarchical topic path of each document, reallocate a topic for each word in each document through Gibbs sampling; a path allocating unit, configured to, according to the nested Chinese restaurant process prior, and an updated document-topic count matrix and topic-word count matrix, reallocate a hierarchical topic path for each document through Gibbs sampling; and an information sending unit, configured to send local statistical information to the master node, wherein the local statistical information comprises: document-topic count matrix information and topic-word count matrix information and hierarchical topic path information of each document which are updated and are of a present slave node. 17. The slave node according to claim 14 , wherein the path allocating unit is further configured to, if new global statistical information sent by the master node is received, reallocate a hierarchical topic path for each document through Gibbs sampling and according to the new global statistical information; and the topic allocating unit is further configured to, if the new global statistical information sent by the master node is received, reallocate a topic for each word in each document through Gibbs sampling and according to the new global statistical information.