Lexicon annotation in sentiment analysis for dialectal Arabic: Systematic review of current trends and future directions
Due to the vast volumes of newly streamed data on the Internet and social media, the use of
sentiment analysis (SA) to extract information and analyze people's opinions has become a …
sentiment analysis (SA) to extract information and analyze people's opinions has become a …
A review of semi-supervised learning for text classification
JM Duarte, L Berton - Artificial intelligence review, 2023 - Springer
A huge amount of data is generated daily leading to big data challenges. One of them is
related to text mining, especially text classification. To perform this task we usually need a …
related to text mining, especially text classification. To perform this task we usually need a …
Nbias: A natural language processing framework for BIAS identification in text
Bias in textual data can lead to skewed interpretations and outcomes when the data is used.
These biases could perpetuate stereotypes, discrimination, or other forms of unfair …
These biases could perpetuate stereotypes, discrimination, or other forms of unfair …
Quantum computing and machine learning for Arabic language sentiment classification in social media
A Omar, T Abd El-Hafeez - Scientific Reports, 2023 - nature.com
With the increasing amount of digital data generated by Arabic speakers, the need for
effective and efficient document classification techniques is more important than ever. In …
effective and efficient document classification techniques is more important than ever. In …
A new hybrid based on long short-term memory network with spotted hyena optimization algorithm for multi-label text classification
H Khataei Maragheh, FS Gharehchopogh… - Mathematics, 2022 - mdpi.com
An essential work in natural language processing is the Multi-Label Text Classification
(MLTC). The purpose of the MLTC is to assign multiple labels to each document. Traditional …
(MLTC). The purpose of the MLTC is to assign multiple labels to each document. Traditional …
[HTML][HTML] A systematic literature review of Arabic dialect sentiment analysis
Sentiment analysis is the process of using natural language processing, computational
linguistics, and other text analysis techniques to identify and extract subjective information in …
linguistics, and other text analysis techniques to identify and extract subjective information in …
SHO-CNN: A metaheuristic optimization of a convolutional neural network for multi-label news classification
News media always pursue informing the public at large. It is impossible to overestimate the
significance of understanding the semantics of news coverage. Traditionally, a news text is …
significance of understanding the semantics of news coverage. Traditionally, a news text is …
[HTML][HTML] Leveraging feature-level fusion representations and attentional bidirectional RNN-CNN deep models for Arabic affect analysis on Twitter
H Elfaik - Journal of King Saud University-Computer and …, 2023 - Elsevier
Arabic affect analysis on Twitter avidly helps to capture the emotional states of individuals
being expressed regarding many targets, such as world-level events, products, and …
being expressed regarding many targets, such as world-level events, products, and …
Arabic toxic tweet classification: leveraging the arabert model
Social media platforms have become the primary means of communication and information
sharing, facilitating interactive exchanges among users. Unfortunately, these platforms also …
sharing, facilitating interactive exchanges among users. Unfortunately, these platforms also …
A systematic review of Arabic text classification: areas, applications, and future directions
Text classification pertains to the automated procedure of assigning predefined labels or
categories to textual data. A comprehensive review of the existing literature on Arabic text …
categories to textual data. A comprehensive review of the existing literature on Arabic text …