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Gulf Arabic Resourc...
Gulf Arabic Resource Building for Sentiment Analysis
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- Adouane, Wafia, 1985 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för filosofi, lingvistik och vetenskapsteori,Department of Philosophy, Linguistics and Theory of Science
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- Johansson, Richard, 1975 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik (GU),Department of Computer Science and Engineering (GU)
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(creator_code:org_t)
- European Language Resources Association, 2016
- 2016
- Engelska.
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Ingår i: Proceedings of the Language Resources and Evaluation Conference (LREC), 23-28 May 2016, Portorož, Slovenia. - : European Language Resources Association. - 9782951740891
- Relaterad länk:
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https://gup.ub.gu.se...
Abstract
Ämnesord
Stäng
- This paper deals with building linguistic resources for Gulf Arabic, one of the Arabic variations, for sentiment analysis task using machine learning. To our knowledge, no previous works were done for Gulf Arabic sentiment analysis despite the fact that it is present in different online platforms. Hence, the first challenge is the absence of annotated data and sentiment lexicons. To fill this gap, we created these two main linguistic resources. Then we conducted different experiments: use Naive Bayes classifier without any lexicon; add a sentiment lexicon designed basically for MSA; use only the compiled Gulf Arabic sentiment lexicon and finally use both MSA and Gulf Arabic sentiment lexicons. The Gulf Arabic lexicon gives a good improvement of the classifier accuracy (90.54 %) over a baseline that does not use the lexicon (82.81%), while the MSA lexicon causes the accuracy to drop to (76.83%). Moreover, mixing MSA and Gulf Arabic lexicons causes the accuracy to drop to (84.94%) compared to using only Gulf Arabic lexicon. This indicates that it is useless to use MSA resources to deal with Gulf Arabic due to the considerable differences and conflicting structures between these two languages.
Ämnesord
- HUMANIORA -- Språk och litteratur -- Studier av enskilda språk (hsv//swe)
- HUMANITIES -- Languages and Literature -- Specific Languages (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Språkteknologi (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Language Technology (hsv//eng)
Nyckelord
- Gulf Arabic
- sentiment analysis
- lexicons
- natural language processing
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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