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Sentiment Analysis for the Low-Resourced Latinised Arabic "Arabizi" ...
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Abstract:
The expansion of digital communication mediums from private mobile messaging into the public through social media presented an opportunity for the data science research and industry to mine the generated big data for artificial information extraction. A popular information extraction task is sentiment analysis, which aims at extracting polarity opinions, positive, negative , or neutral , from the written natural language. This science helped organisations better understand the public’s opinion towards events, news, public figures, and products. However, sentiment analysis has advanced for the English language ahead of Arabic. While sentiment analysis for Arabic is developing in the literature of Natural Language Processing (NLP), a popular variety of Arabic, Arabizi, has been overlooked for sentiment analysis advancements. Arabizi is an informal transcription of the spoken dialectal Arabic in Latin script used for social texting. It is known to be common among the Arab youth, yet it is overlooked in efforts ...
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URL: https://dx.doi.org/10.21954/ou.ro.00011f21
http://oro.open.ac.uk/id/eprint/73505
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Lexical Induction of Orthographic and Morphological forms for Low-Resourced Languages ...
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SenZi: A sentiment analysis lexicon for the latinised Arabic (Arabizi)
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