This paper describes the opinion retrieval system for TREC 2007 blog track. This paper focuses on two components of the system. One component is important content block detection component which is used to extract blog contents and get rid of noises in blog pages. Another component is opinion retrieval component which is used to give each sentence an opinion score and combine it with topic score based on SVR. The evaluation proves the validity of our algorithm in the task.