In answer to the requirement of internet opinions analysis, this paper discusses the STC algorithm for text clustering, in order to discover common phrases that can assign documents and form document clusters. Because web document titles and abstracts can express the main ideas, web document clusters are created by STC algorithm, and clusters of internet public opinions information are created by using this method.