Automatic Construction of Polarity-tagged Corpus from HTML Documents 
 This paper proposes a novel method of building polarity-tagged corpus from HTML documents . The characteristics of this method is that it is fully automatic and can be applied to arbitrary HTML documents . The idea behind our method is to utilize certain layout structures and linguistic pattern . By using them, we can automatically extract such sentences that express opinion. In our experiment, the method could construct a corpus consisting of 126,610 sentences . 