SELF & FEIL: Emotion and Intensity Lexicons for Finnish
Emily \"Ohman

TL;DR
This paper presents the creation and evaluation of the first comprehensive Finnish sentiment and emotion lexicons, SELF and FEIL, which are based on projected annotations from the NRC Emotion Lexicon.
Contribution
It introduces the first extensive sentiment and emotion lexicons for Finnish, including a lexicon creation process and evaluation methodology.
Findings
Lexicons are based on carefully translated annotations.
The lexicons are evaluated using standard tools.
This is the first such resource for Finnish.
Abstract
This paper introduces a Sentiment and Emotion Lexicon for Finnish (SELF) and a Finnish Emotion Intensity Lexicon (FEIL). We describe the lexicon creation process and evaluate the lexicon using some commonly available tools. The lexicon uses annotations projected from the NRC Emotion Lexicon with carefully edited translations. To our knowledge, this is the first comprehensive sentiment and emotion lexicon for Finnish.
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Taxonomy
TopicsSentiment Analysis and Opinion Mining · Natural Language Processing Techniques
