| 摘要 |
Disclosed in the present invention is a text mining-based attribute analysis method for Internet media users. The method comprises the following steps: (1) sequentially establishing a label main corpus and a feature corpus, and updating and maintaining the label main corpus and the feature corpus respectively; (2) and extracting all history article samples of Internet users, and removing videos, audios and pictures in the samples. The present invention can form attributes of browsed sample articles for each of the Internet users, and accurately determine weights of interest categories through analysis, so as to deeply identify, analyze and mine the user attributes of the users, that is, in addition to the capability of analyzing and mining the basic attributes of the users, the application range of the identification of the user attributes is greatly expanded, and the basic attributes of users of the entire Internet can also be analyzed. |
