The invention discloses a method and a system for clustering Chinese text data, which belong to the technical field of data mining. The method comprises steps of: step 1, carrying out dimension reduction process on each text data; step 2, dividing the text data into a plurality of batches; step 3, clustering the text data in a single batch according to the text similarity; and step 4, completing the clustering of all the batches so as to form unified clustering. The dimension reduction process of the step 1 comprises steps of: step a, selecting a tagged word set; and step b, comparing each text data with the tagged word set, completing statistics of tagged words in the text data, and forming a text data characteristic set. The method has the beneficial effects that the operation speed and efficiency of a system are effectively improved through carrying a dimension reduction process and a batch process on the text data, and the size overhead is lowered; and a processing efficiency problem of large-scale Chinese text clustering and a performance problem of large space occupation can be solved.