論文 ·日本語 ·未確認

Annotating Affective Inf ormation on 5.5 Billion Word Corpus of Japanese Blogs

Michał Ptaszyński ・ Paweł Dybała ・ Rafał Rzepka ・ Kenji Araki ・ Yoshio Momouchi

刊行年: 2012-01-01
言語: 英語
OpenAlex: W2288218587
MAG: 2288218587
URL: https://openalex.org/W2288218587

要旨

This paper presents our work on annotating a 5.5 billion word corpus of Japanese blogs with affective information. In the annotation we used two systems for affect analysis: ML-Ask for analyzing words and sentences and CAO for analyzing emoticons. The annotated information includes such features as emotive expressions, emotion classes, emoticons, valence and activation. The statistics of those annotations are presented and compared to other available emotion blog corpora.

主題

Sentiment Analysis and Opinion Mining Digital Communication and Language Emotion and Mood Recognition

この書誌の出所

openalex— W2288218587（2026-08-14取得）

引用

Michał Ptaszyński・Paweł Dybała・Rafał Rzepka・Kenji Araki・Yoshio Momouchi（2012-01-01）　Annotating Affective Inf ormation on 5.5 Billion Word Corpus of Japanese Blogs

Ptaszyński2012AnnotatingAffectiveInf