蔑视
发表于 2025-3-25 06:55:22
LSTM-CNN Deep Learning Model for Sentiment Analysis of Dialectal Arabicdel achieves an accuracy between 81% and 93% for binary classification and 66% to 76% accuracy for three-way classification. The model is currently the state of the art in applying DL methods to Sentiment Analysis in dialectal Arabic.
VAN
发表于 2025-3-25 09:42:02
Arabic Language Processing: From Theory to Practice7th International Co
Torrid
发表于 2025-3-25 12:11:22
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护身符
发表于 2025-3-25 18:23:07
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Preamble
发表于 2025-3-25 21:00:05
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桉树
发表于 2025-3-26 03:45:02
Negation in Standard Arabic Revisited: A Corpus-Based Metaoperational Approachs on one hand, and to the binary micro-system Phase 1/Phase 2 on another, the study suggests a redefinition of the status, scope and values of six negators – . and . – as well as their counterparts in the affirmative pole.
languor
发表于 2025-3-26 06:14:00
Skew Correction and Text Line Extraction of Arabic Historical Documentscorrection technique is proposed beside a space following algorithm which is performed to separate lines from each other. The segmentation method is applied on four representations of the text image, including an original binary image and other three representations obtained by transforming the inpu
AUGER
发表于 2025-3-26 09:47:24
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Climate
发表于 2025-3-26 15:48:35
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travail
发表于 2025-3-26 17:39:06
https://doi.org/10.1007/978-3-662-42028-7nts using a variety of acoustic features extracted by .. Some algorithms of classification are implemented with the . toolkit. Low-level audio features and the corresponding delta features are utilized. Statistical functionals are applied to each of the features and delta features. The best classifi