A comprehensive study for Arabic Sentiment Analysis (Challenges and Applications)-Reference-Cited by-同舟云学术

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A comprehensive study for Arabic Sentiment Analysis (Challenges and Applications)

Published:2020-03 Issue:1 Volume:21 Page:7-12
ISSN:1110-8665
Container-title:Egyptian Informatics Journal
language:en
Short-container-title:Egyptian Informatics Journal

Author:

Alsayat Ahmed,Elmitwally Nouh

Funder

Jouf University

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Computer Science Applications,Information Systems

Reference32 articles.

1. Arabic opinion mining using distributed representations of documents;El-Halees,2017

2. Semantic sentiment analysis in arabic social media;Tartir;J King Saud Univ—Comput Inf Sci,2017

3. Framework for sentiment analysis of arabic text;Almuqren,2016

4. Building corpora for figurative language processing: the case of irony detection;Reyes,2012

5. Finding opinion strength using rule-based parsing for arabic sentiment analysis;Oraby,2013

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1. Natural Language Processing for Arabic Sentiment Analysis: A Systematic Literature Review;IEEE Transactions on Big Data;2024-10

2. Annotation and evaluation of a dialectal Arabic sentiment corpus against benchmark datasets using transformers;Language Resources and Evaluation;2024-08-18

3. Soutcom: Real‐time sentiment analysis of Arabic text for football fan satisfaction using a bidirectional LSTM;Expert Systems;2024-05-25

4. "Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach";Artificial Intelligence Review;2024-03-05

5. WeVoTe: A Weighted Voting Technique for Automatic Sentiment Annotation of Moroccan Dialect Comments;IEEE Access;2024

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