A text mining-based attribute analysis method for Internet media users comprises a first steps of establishing a label main corpus and a feature corpus sequentially, and updating and maintaining the label main corpus and the feature corpus respectively, and a second step of extracting all history article samples of Internet users, and cleaning out videos, audios and pictures in the samples. The text mining-based attribute analysis method can form attributes of browsed sample articles for each Internet media user, and analyze accurately weights of interesting categories, to identify deeply, analyze, and mine the user attributes, and the basic attributes of the Internet users can also be analyzed.