A review of hybrid and ensemble in deep learning for natural language processing
This review presents a comprehensive exploration of hybrid and ensemble deep learning
models within Natural Language Processing (NLP), shedding light on their transformative …
models within Natural Language Processing (NLP), shedding light on their transformative …
The emergence of social media data and sentiment analysis in election prediction
This work presents and assesses the power of various volumetric, sentiment, and social
network approaches to predict crucial decisions from online social media platforms. The …
network approaches to predict crucial decisions from online social media platforms. The …
[HTML][HTML] Transformer-based deep learning models for the sentiment analysis of social media data
ST Kokab, S Asghar, S Naz - Array, 2022 - Elsevier
Sentiment analysis (SA) is a widely used contextual mining technique for extracting useful
and subjective information from text-based data. It applies on Natural Language Processing …
and subjective information from text-based data. It applies on Natural Language Processing …
Exploring deep neural networks for rumor detection
The widespread propagation of numerous rumors and fake news have seriously threatened
the credibility of microblogs. Previous works often focused on maintaining the previous state …
the credibility of microblogs. Previous works often focused on maintaining the previous state …
Senti‐eSystem: a sentiment‐based eSystem‐using hybridized fuzzy and deep neural network for measuring customer satisfaction
MZ Asghar, F Subhan, H Ahmad… - Software: Practice …, 2021 - Wiley Online Library
In the competing era of online industries, understanding customer feedback and satisfaction
is one of the important concern for any business organization. The well‐known social media …
is one of the important concern for any business organization. The well‐known social media …
A survey on sentiment analysis and its applications
TA Al-Qablan, MH Mohd Noor, MA Al-Betar… - Neural Computing and …, 2023 - Springer
Analyzing and understanding the sentiments of social media documents on Twitter,
Facebook, and Instagram has become a very important task at present. Analyzing the …
Facebook, and Instagram has become a very important task at present. Analyzing the …
Novel Crow Swarm Optimization Algorithm and Selection Approach for Optimal Deep Learning COVID‐19 Diagnostic Model
Due to the COVID‐19 pandemic, computerized COVID‐19 diagnosis studies are
proliferating. The diversity of COVID‐19 models raises the questions of which COVID‐19 …
proliferating. The diversity of COVID‐19 models raises the questions of which COVID‐19 …
Aspect-based sentiment analysis using a hybridized approach based on CNN and GA
A Ishaq, S Asghar, SA Gillani - IEEE Access, 2020 - ieeexplore.ieee.org
Sentiment analysis is a computational analysis of unstructured textual data, used to assess
the person's attitude from a piece of text. Aspect-based sentimental analysis defines the …
the person's attitude from a piece of text. Aspect-based sentimental analysis defines the …
Attention-based RU-BiLSTM sentiment analysis model for roman Urdu
Deep neural networks have emerged as a leading approach towards handling many natural
language processing (NLP) tasks. Deep networks initially conquered the problems of …
language processing (NLP) tasks. Deep networks initially conquered the problems of …
Classification of poetry text into the emotional states using deep learning technique
The classification of emotional states from poetry or formal text has received less attention by
the experts of computational intelligence in recent times as compared to informal textual …
the experts of computational intelligence in recent times as compared to informal textual …