XED: A multilingual dataset for sentiment analysis and emotion detection
We introduce XED, a multilingual fine-grained emotion dataset. The dataset consists of
human-annotated Finnish (25k) and English sentences (30k), as well as projected …
human-annotated Finnish (25k) and English sentences (30k), as well as projected …
The validity of lexicon-based sentiment analysis in interdisciplinary research
E Öhman - Proceedings of the workshop on natural language …, 2021 - aclanthology.org
Lexicon-based sentiment and emotion analysis methods are widely used particularly in
applied Natural Language Processing (NLP) projects in fields such as computational social …
applied Natural Language Processing (NLP) projects in fields such as computational social …
Towards a corpus of historical German plays with emotion annotations
In this paper, we present first work-in-progress annotation results of a project investigating
computational methods of emotion analysis for historical German plays around 1800. We …
computational methods of emotion analysis for historical German plays around 1800. We …
Emotion classification in German plays with transformer-based language models pretrained on historical and contemporary language
We present results of a project on emotion classification on historical German plays of
Enlightenment, Storm and Stress, and German Classicism. We have developed a …
Enlightenment, Storm and Stress, and German Classicism. We have developed a …
[PDF][PDF] Emotion Annotation: Rethinking Emotion Categorization.
E Öhman - DHN post-proceedings, 2020 - academia.edu
One of the biggest hurdles for the utilization of machine learning in interdisciplinary projects
is the need for annotated training data which is costly to create. Emotion annotation is a …
is the need for annotated training data which is costly to create. Emotion annotation is a …
A sentiment corpus for South African under-resourced languages in a multilingual context
R Mabokela, T Schlippe - Proceedings of the 1st Annual Meeting …, 2022 - aclanthology.org
Multilingual sentiment analysis is a process of detecting and classifying sentiment based on
textual information written in multiple languages. There has been tremendous research …
textual information written in multiple languages. There has been tremendous research …
Experiencing Annotation: Emotion, Motivation and Bias in Annotation Tasks
In this paper we present different aspects of how emotions can relate to the problem of data
annotation. Our main contribution is an extensive literature review where we discuss how …
annotation. Our main contribution is an extensive literature review where we discuss how …
Multilingual racial hate speech detection using transfer learning
The rise of social media eases the spread of hateful content, especially racist content with
severe consequences. In this paper, we analyze the tweets targeting the death of George …
severe consequences. In this paper, we analyze the tweets targeting the death of George …
FinnSentiment: a Finnish social media corpus for sentiment polarity annotation
Sentiment analysis and opinion mining are essential tasks with many prominent application
areas, eg, when researching popular opinions on products or brands. Sentiments expressed …
areas, eg, when researching popular opinions on products or brands. Sentiments expressed …
The 5js in ethiopia: Amharic hate speech data annotation using toloka crowdsourcing platform
This paper presents an Amharic hate speech annotation using the Yandex Toloka
crowdsourcing platform. The dataset for this paper is collected from 5 consecutive years in …
crowdsourcing platform. The dataset for this paper is collected from 5 consecutive years in …