no code implementations • NLP4DH (ICON) 2021 • Emily Öhman
Lexicon-based sentiment and emotion analysis methods are widely used particularly in applied Natural Language Processing (NLP) projects in fields such as computational social science and digital humanities.
1 code implementation • NLP4DH (ICON) 2021 • Emily Öhman, Amy Gracy Metcalfe
This project is a pilot study intending to combine traditional corpus linguistics, Natural Language Processing, critical discourse analysis, and digital humanities to gain an up-to-date understanding of how beauty is being marketed on social media, specifically Instagram, to followers.
no code implementations • 6 Apr 2023 • Emily Öhman, Riikka Rossi
We propose to use affect as a proxy for mood in literary texts.
no code implementations • 18 Mar 2022 • Elissa Nakajima Wickham, Emily Öhman
This paper examines the shift in focus on content policies and user attitudes on the social media platform Reddit.
no code implementations • 28 Apr 2021 • Emily Öhman
This paper introduces a Sentiment and Emotion Lexicon for Finnish (SELF) and a Finnish Emotion Intensity Lexicon (FEIL).
1 code implementation • COLING 2020 • Emily Öhman, Marc Pàmies, Kaisla Kajava, Jörg Tiedemann
We introduce XED, a multilingual fine-grained emotion dataset.
no code implementations • SEMEVAL 2020 • Marc Pàmies, Emily Öhman, Kaisla Kajava, Jörg Tiedemann
This paper presents the different models submitted by the LT@Helsinki team for the SemEval 2020 Shared Task 12.