抄録
This paper introduces a Sentiment and Emotion Lexicon for Finnish (SELF) and a Finnish Emotion Intensity Lexicon (FEIL). Sentiment analysis and emotion detection require annotated data regardless of the chosen approach, but most existing resources are for the English language. To overcome this, the SELF and FEIL lexicons use projected annotations from existing resources with carefully edited translations and domain adaptations. In this paper the creation process and translation issues are explained in detail to allow others to create similar lexicons for other languages. The usefulness of SELF and FEIL are demonstrated via several interdisciplinary affect-related projects. To our best knowledge, this is the first comprehensive sentiment and emotion lexicon for Finnish.
本文言語 | English |
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ページ(範囲) | 424-432 |
ページ数 | 9 |
ジャーナル | CEUR Workshop Proceedings |
巻 | 3232 |
出版ステータス | Published - 2022 |
イベント | 6th Digital Humanities in the Nordic and Baltic Countries Conference, DHNB 2022 - Uppsala, Sweden 継続期間: 2022 3月 15 → 2022 3月 18 |
ASJC Scopus subject areas
- コンピュータサイエンス一般