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CAT: Credibility Analysis of Arabic Content on Twitter
(
Association for Computational Linguistics (ACL)
, 2017 , Conference Paper)
Data generated on Twitter has become a rich source for various data mining tasks. Those data analysis tasks that are dependent on the tweet semantics, such as sentiment analysis, emotion mining, and rumor detection among ...
A Characterization Study of Arabic Twitter Data with a Benchmarking for State-of-the-Art Opinion Mining Models
(
Association for Computational Linguistics (ACL)
, 2017 , Conference Paper)
Opinion mining in Arabic is a challenging task given the rich morphology of the language. The task becomes more challenging when it is applied to Twitter data, which contains additional sources of noise, such as the use ...
Comparative Evaluation of Sentiment Analysis Methods Across Arabic Dialects
(
Elsevier
, 2017 , Conference Paper)
Sentiment analysis in Arabic is challenging due to the complex morphology of the language. The task becomes more challenging when considering Twitter data that contain significant amounts of noise such as the use of Arabizi, ...