2021
DOI: 10.1007/978-3-030-71804-6_24
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Learning Word Representations for Tunisian Sentiment Analysis

Abstract: Tunisians on social media tend to express themselves in their local dialect using Latin script (TUNIZI). This raises an additional challenge to the process of exploring and recognizing online opinions. To date, very little work has addressed TUNIZI sentiment analysis due to scarce resources for training an automated system. In this paper, we focus on the Tunisian dialect sentiment analysis used on social media. Most of the previous work used machine learning techniques combined with handcrafted features. More … Show more

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Cited by 7 publications
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“…Messaoudi, Abir, et al [6] proposed two deep learning models in order to establish sentiment analysis on Tunisian Romanized script. In the first model, they applied Word2vec or frWaC as initial representation.…”
Section: • Based On Non-code-switched Textmentioning
confidence: 99%
“…Messaoudi, Abir, et al [6] proposed two deep learning models in order to establish sentiment analysis on Tunisian Romanized script. In the first model, they applied Word2vec or frWaC as initial representation.…”
Section: • Based On Non-code-switched Textmentioning
confidence: 99%