CEMSE, in partnership with Women to Impact (WTI), is pleased to announce that the “Arabic Sentiment Analysis Challenge” is available now on Kaggle. This competition challenges interested students, developers, data scientists, researchers, and experts to develop models that can determine the tone (positive, negative, and neutral) of the Arabic text (e.g., movie reviews, tweets).
In our challenge, we will release 95K annotated tweets for Arabic sentiment analysis. This dataset will also be extremely useful for building Arabic language models, which are essential for supporting other Arabic NLP tasks, such as Question & Answering, Machine Translation, and text generation.
For more information on how to download the dataset and submission instructions, please visit our WTI website.
Submissions now open
Download the dataset and take part in the challenge!
The deadline to submit solutions is May 31, 2021, and the winners will be announced on June 15, 2021.
The competition is opened globally to anyone interested in the ML and NLP fields. WTI, supporting diversity and inclusion, encourages women to participate and to demonstrate their potential!
The top three winners will receive valuable prizes. Hurry up, and don’t miss out on this exciting opportunity!
We are looking forward to your participation.
WTI Team
