Abstract: Site optimization systems based on artificial retrieval and topping work slowly and inefficiently. In order to deal with these problems, a site deep-digger system was proposed with Internet client psychology mining. I}he system u- tilizes Web opinion mining technologies to search Internet hot points. And it can extract and estimate client requests from historic data. According to these rectuests and historic information,it optimizes the site by creating related Webs. Simulation results show that the system can perform better to mine Internet opinions and do SEO (search engine optimi- nation) better than the traditional methods do so.

Key words: Network, Client psychology character, Psychology mining, Search engine optimization, Match