no code implementations • 21 Apr 2023 • Segun Taofeek Aroyehun, Lukas Malik, Hannah Metzler, Nikolas Haimerl, Anna Di Natale, David Garcia
We present LEIA, a model for emotion identification in text that has been trained on a dataset of more than 6 million posts with self-annotated emotion labels for happiness, affection, sadness, anger, and fear.
2 code implementations • 9 Dec 2021 • Hannah Metzler, Hubert Baginski, Thomas Niederkrotenthaler, David Garcia
The two deep learning models achieved the best performance in two classification tasks: In the first task, we classified six main content categories, including personal stories about either suicidal ideation and attempts or coping, calls for action intending to spread either problem awareness or prevention-related information, reporting of suicide cases, and other tweets irrelevant to these categories.
