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Found 6 papers, 0 papers with code
Debating Europe: A Multilingual Multi-Target Stance Classification Dataset of Online Debates
We present a new dataset of online debates in English, annotated with stance.
WASSA 2021 Shared Task: Predicting Empathy and Emotion in Reaction to News Stories
This paper presents the results that were obtained from the WASSA 2021 shared task on predicting empathy and emotions.
Improving Sentiment Analysis over non-English Tweets using Multilingual Transformers and Automatic Translation for Data-Augmentation
Tweets are specific text data when compared to general text.
IEST: WASSA-2018 Implicit Emotions Shared Task
Here, for the first time, we propose a shared task where systems have to predict the emotions in a large automatically labeled dataset of tweets without access to words denoting emotions.
Observing Trends in Automated Multilingual Media Analysis
Any large organisation, be it public or private, monitors the media for information to keep abreast of developments in their field of interest, and usually also to become aware of positive or negative opinions expressed towards them.
Sentiment Analysis in the News
We identified three subtasks that need to be addressed: definition of the target; separation of the good and bad news content from the good and bad sentiment expressed on the target; and analysis of clearly marked opinion that is expressed explicitly, not needing interpretation or the use of world knowledge.
