Stacked Bi-directional Long Short Term Memory model for Multi-Class Arabic Sentiment Analysis on Covid-19
Author:
Affiliation:
1. Nasiriyah Technical Institute, Southern Technical University,Office Management and Information Systems Dept.,Thi-Qar,Iraq
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10107826/10107917/10107934.pdf?arnumber=10107934
Reference20 articles.
1. The First QALB Shared Task on Automatic Text Correction for Arabic
2. A Sentiment Treebank and Morphologically Enriched Recursive Deep Models for Effective Sentiment Analysis in Arabic
3. Sentiment Analysis of Lockdown in India During COVID-19: A Case Study on Twitter
4. Word embeddings and convolutional neural network for Arabic sentiment classification;dahou;Proceedings of COLING 2016 the 26th International Conference on Computational Linguistics Technical Papers,0
5. Conciseness is better: recurrent attention LSTM model for document-level sentiment analysis;zhang;Neurocomputing,2021
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Using Opinionated-Objective Terms to Improve Lexicon-Based Sentiment Analysis;Lecture Notes in Networks and Systems;2024
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