YACIS: A Five-Billion-Word Corpus of Japanese Blogs Fully Annotated with Syntactic and Affective Information

要旨

This paper presents YACIS, a new fully annotated large scale corpus of Japanese language. The corpus is based on blog en- tries from Ameba blog service. The original structure (blog post and comments) is preserved, thanks to which semantic relations between posts and comments are maintained. The corpus is annotated with syntactic (POS, dependency parsing, etc.) and affective (emotive ex- pressions, emoticons, valence, etc.) information. The annotations are evaluated in a survey on over forty respondents. The corpus is also compared to other existing corpora, both large scale and emotion re- lated.

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