Abstract
This paper proposes a efficient keyword extraction technique for a message stream of web-based TV viewer's community. Message stream of such a community contains a lot of community peculiarity expressions that not listed in commonly used dictionary for natural language processing. It makes ordinary morpheme analysis difficult. We considered preprocessing such as a noise reduction based on TV viewer's community and confirmed the effectiveness of "Identifying Hierarchical Structure in Sequences" algorithm for keyword extraction.
