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yosm: A new yoruba sentiment corpus for movie reviews ...
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Abstract:
A movie that is thoroughly enjoyed and recommended by an individual might be hated by another. One characteristic of humans is the ability to have feelings which could be positive or negative. To automatically classify and study human feelings, an aspect of natural language processing, sentiment analysis and opinion mining were designed to understand human feelings regarding several issues which could affect a product, a social media platforms, government, or societal discussions or even movies. Several works on sentiment analysis have been done on high resource languages while low resources languages like Yoruba have been sidelined. Due to the scarcity of datasets and linguistic architectures that will suit low resource languages, African languages "low resource languages" have been ignored and not fully explored. For this reason, our attention is placed on Yoruba to explore sentiment analysis on reviews of Nigerian movies. The data comprised 1500 movie reviews that were sourced from IMDB, Rotten Tomatoes, ... : Accepted to AfricaNLP Workshop @ICLR 2022 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2204.09711
https://dx.doi.org/10.48550/arxiv.2204.09711
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BASE
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Linguistic Fingerprints of Internet Censorship: the Case of SinaWeibo ...
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BASE
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Linguistic Characteristics of Censorable Language on SinaWeibo ...
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BASE
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Brian Roark & Richard Sproat, Computational approaches to morphology and syntax. (=Oxford Surveys in Syntax and Morphology 4). Oxford and New York: Oxford University Press, 2007. xx+316pp. ISBN10 0-19-927478-9, ISBN 13 978-0-19-927478-9 (paperback), ISBN 10 0-19-927477-0, ISBN 13 978-0-19-927477-2 (hardback).
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In: Word structure. - Edinburgh : Univ. Press 5 (2012) 2, 249-253
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OLC Linguistik
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A resource-light approach to morpho-syntactic tagging
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MPI-SHH Linguistik
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