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2023 ACL ACL 2023

NLP-LISAC at SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis via a Transformer-based Approach and Data Augmentation

Abstract

AbstractThis paper presents our system and findings for SemEval 2023 Task 9 Tweet Intimacy Analysis. The main objective of this task was to predict the intimacy of tweets in 10 languages. Our submitted model (ranked 28/45) consists of a transformer-based approach with data augmentation via machine translation.

🌉 Interdisciplinary Bridge — Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — tweet analysis
🐣 Hot Topic Early Bird — multilingual nlp
🐝 Cross-Pollinator — Artificial Intelligence, Computer Vision, Data Science & Analytics, Deep Learning, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Speech & Audio

Authors

Abdessamad Benlahbib , Hamza Alami , Achraf Boumhidi , Omar Benslimane

Topics

Machine Learning > Application Areas > Data Augmentation Natural Language Processing > Understanding > Sentiment Analysis Natural Language Processing > Applications > Text Classification Natural Language Processing > Applications > Sentiment Analysis Machine Learning > Learning Types > Multi-Label Classification Machine Learning > Learning Types > Data Augmentation

Keywords

sentiment analysis machine translation multilingual nlp data augmentation tweet analysis intimacy analysis transformer model
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