Search Results for author:
Found 7 papers, 2 papers with code
The Validity of Lexicon-based Sentiment Analysis in Interdisciplinary Research
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.
Japanese Beauty Marketing on Social Media: Critical Discourse Analysis Meets NLP
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.
Hate speech, Censorship, and Freedom of Speech: The Changing Policies of Reddit
This paper examines the shift in focus on content policies and user attitudes on the social media platform Reddit.
SELF & FEIL: Emotion and Intensity Lexicons for Finnish
This paper introduces a Sentiment and Emotion Lexicon for Finnish (SELF) and a Finnish Emotion Intensity Lexicon (FEIL).
XED: A Multilingual Dataset for Sentiment Analysis and Emotion Detection
We introduce XED, a multilingual fine-grained emotion dataset.
LT@Helsinki at SemEval-2020 Task 12: Multilingual or language-specific BERT?
This paper presents the different models submitted by the LT@Helsinki team for the SemEval 2020 Shared Task 12.
