With the rapid advance of the Internet, everybody has become able to obtain information from it easily. However. there are no systems which are available to extract and present information suitable to a user's sentiment. We propose a system that searches for information based on a user's sentiment. As described in this this paper, we propose a words-of-wisdom search system as a first step of the research. Specifically, we first propose a multi-dimensional sentiment vector based on Nakamura's proposed 10 categories of sentiments. Next, based on our experiment, we calculate the value of sentiment words included in words-of-wisdom. Subsequently we calculate the sentiment value of words-of-wisdom using a value of sentiment words. We developed a prototype system and conducted experiments. © 2011 ACM.