Search Results for author: Alexandra Ciobotaru

Found 2 papers, 0 papers with code

RED v2: Enhancing RED Dataset for Multi-Label Emotion Detection

no code implementations LREC 2022 Alexandra Ciobotaru, Mihai Vlad Constantinescu, Liviu P. Dinu, Stefan Dumitrescu

RED (Romanian Emotion Dataset) is a machine learning-based resource developed for the automatic detection of emotions in Romanian texts, containing single-label annotated tweets with one of the following emotions: joy, fear, sadness, anger and neutral.

Multi-Label Classification regression

RED: A Novel Dataset for Romanian Emotion Detection from Tweets

no code implementations RANLP 2021 Alexandra Ciobotaru, Liviu P. Dinu

In this article we present some features of our novel dataset, and create a benchmark to achieve the first supervised machine learning model for automatic Emotion Detection in Romanian short texts.

BIG-bench Machine Learning Opinion Mining +3

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