The proposed corpus constitutes the largest manually annotated Arabic corpus to date, with more than 5 million tokens, 238,600 MSA texts, and words from Arabic ...
Jan 1, 2021 · In this work, we address this challenge by: 1) Proposing a novel Arabic social media text corpus containing more than 5 million annotated tokens.
The impact of Arabic part of speech tagging on sentiment analysis: A new corpus and deep learning approach ... The challenge of analyzing the Arabic language ...
The accuracy of sentiment analysis depends on automatic Part-of-Speech (PoS) tagging which is required to label words according to grammatical categories. The ...
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What is part of speech tagging in sentiment analysis?
What is part of speech tagging in corpus linguistics?
Apr 6, 2024 · In sentiment analysis, the POS tagger plays a pivotal role in discerning and extracting the emotional nuances embedded in the textual context.
The accuracy of sentiment analysis depends on automatic Part-of-Speech (PoS) tagging which is required to label words according to grammatical categories. The ...
Nerabiea, The impact of Arabic part of speech tagging on sentiment analysis: a new corpus and deep learning approach, Proceedings of the 12th International ...
May 22, 2018 · An Arabic POS-tagger is developed using artificial neural network and the accuracy rate for the whole system is 96.96% and by combining the ...
We present a POS tagger for Arabic tweets using a deep learning approach that achieves a state-of-the-art performance. •. POS taggers are developed for MSA ...
Oct 19, 2021 · The authors in [11] studied the effect of POS tagging to enhance Arabic text classification performance by focusing on certain POS tags. They ...