Foul at SemEval-2023 Task 12: MARBERT Language model and lexical filtering for sentiments analysis of tweets in Algerian Arabic
Year: 2023
Type: conference-paper
Abstract: This paper describes the system we designed for our participation in SemEval-2023 Task 12 Track 6 about Algerian dialect sentiment analysis.We propose a transformer language model approach combined with a lexicon mixing terms and emojis which is used in a postprocessing filtering stage.The Algerian sentiment lexicons were extracted manually from tweets.We report on our experiments on the Algerian dialect, where we compare the performance of MARBERT to the one of Arabic-BERT and CAMeLBERT on the training and development datasets of Task 12.We also analyze the contribution of our post-processing lexical filtering for sentiment analysis.Our system obtained an F1 score equal to 70%, ranking 9 th among 30 participants.
Author: Faiza Belbachir
Institution: Institut Polytechnique des Sciences Avancées
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4385569984