SELF & FEIL: Emotion Lexicons for Finnish

Emily S. Öhman*

*この研究の対応する著者

研究成果: Conference article査読

1 被引用数 (Scopus)

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
ページ(範囲)424-432
ページ数9
ジャーナルCEUR Workshop Proceedings
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 152022 3月 18

ASJC Scopus subject areas

  • コンピュータサイエンス一般

フィンガープリント

「SELF & FEIL: Emotion Lexicons for Finnish」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル