1
Gradient-based learning applied to document recognition
2
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
3
Sentiment analysis of imbalanced datasets using BERT and ensemble stacking for deep learning
4
Ethical Use of ChatGPT in the Context of Leadership and Strategic Decisions
5
A deep learning-based sentiment analysis approach (MF-CNN-BILSTM) and topic modeling of tweets related to the Ukraine-Russia conflict
6
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
7
A systematic review of social network sentiment analysis with comparative study of ensemble-based techniques
8
Multi-MCCR: Multiple models regularization for semi-supervised text classification with few labels
9
Aspect-Based Sentiment Analysis of Customer Speech Data Using Deep Convolutional Neural Network and BiLSTM
10
Sentiment Analysis and Sarcasm Detection using Deep Multi-Task Learning
11
A Systematic Review of Trustworthy and Explainable Artificial Intelligence in Healthcare: Assessment of Quality, Bias Risk, and Data Fusion
12
Parameter-efficient fine-tuning of large-scale pre-trained language models
13
An efficient model for sentiment analysis using artificial rabbits optimized vector functional link network
14
Exploiting bi-directional deep neural networks for multi-domain sentiment analysis using capsule network
15
Innovative Forward Fusion Feature Selection Algorithm for Sentiment Analysis Using Supervised Classification
16
Machine learning and deep learning for sentiment analysis across languages: A survey
17
Research on non-dependent aspect-level sentiment analysis
18
Twitter sentiment analysis on online food services based on elephant herd optimization with hybrid deep learning technique
19
Workers’ Opinions on Using the Internet of Things to Enhance the Performance of the Olive Oil Industry: A Machine Learning Approach
20
A deep learning-based model using hybrid feature extraction approach for consumer sentiment analysis
21
WordNet Semantic Relations Based Enhancement of KNN Model for Implicit Aspect Identification in Sentiment Analysis
22
Arabic Tweets-Based Sentiment Analysis to Investigate the Impact of COVID-19 in KSA: A Deep Learning Approach
23
MBi-GRUMCONV: A novel Multi Bi-GRU and Multi CNN-Based deep learning model for social media sentiment analysis
24
MULTI-CLASS SENTIMENT CLASSIFICATION ON BENGALI SOCIAL MEDIA COMMENTS USING MACHINE LEARNING
25
Customer decision-making analysis based on big social data using machine learning: a case study of hotels in Mecca
26
SA-ASBA: a hybrid model for aspect-based sentiment analysis using synthetic attention in pre-trained language BERT model with extreme gradient boosting
27
Using sentiment analysis to evaluate qualitative students’ responses
28
Sentiment-aware multimodal pre-training for multimodal sentiment analysis
29
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions
30
Implementing a novel deep learning technique for rainfall forecasting: An approach via hierarchical clustering analysis.
31
Automatic Text Summarization of Biomedical Text Data: A Systematic Review
32
A Hybrid Method Using Ensembles of Neural Network and Text Mining for Learner Satisfaction Analysis from Big Datasets in Online Learning Platform
33
Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search
34
DeepSumm: Exploiting topic models and sequence to sequence networks for extractive text summarization
35
Multimodal Hybrid Deep Learning Approach to Detect Tomato Leaf Disease Using Attention Based Dilated Convolution Feature Extractor with Logistic Regression Classification
36
Intelligent fake reviews detection based on aspect extraction and analysis using deep learning
37
Systematic prediction of degrons and E3 ubiquitin ligase binding via deep learning
38
Aspect-based sentiment analysis: an overview in the use of Arabic language
39
Knowledge-Based News Event Analysis and Forecasting Toolkit
40
Sentiment analysis: a convolutional neural networks perspective
41
Analyzing Modality Robustness in Multimodal Sentiment Analysis
42
Risk prediction in financial management of listed companies based on optimized BP neural network under digital economy
43
Sarcasm detection using deep learning and ensemble learning
44
Data augmentation for aspect-based sentiment analysis
45
State of the art: a review of sentiment analysis based on sequential transfer learning
46
Movie Recommendation and Sentiment Analysis Using Machine Learning
47
Artificial Intelligence-Based Approach for Misogyny and Sarcasm Detection from Arabic Texts
48
Predicting Adverse Drug Reactions from Social Media Posts: Data Balance, Feature Selection and Deep Learning
49
RETRACTED ARTICLE: ICDN: integrating consistency and difference networks by transformer for multimodal sentiment analysis
50
New Breakthroughs and Innovation Modes in English Education in Post-pandemic Era
51
Machine Learning Based Restaurant Sales Forecasting
52
Machine Learning-Based Music Genre Classification with Pre-Processed Feature Analysis
53
Multichannel Two-Dimensional Convolutional Neural Network Based on Interactive Features and Group Strategy for Chinese Sentiment Analysis
54
Abstractive Arabic Text Summarization Based on Deep Learning
55
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
56
An Ontology-Based Approach to Enhance Explicit Aspect Extraction in Standard Arabic Reviews
57
Categorizing Sentiment Polarities in Social Networks Data Using Convolutional Neural Network
58
Deep Learning-Based Context-Aware Recommender System Considering Contextual Features
59
A hybrid E-learning recommendation integrating adaptive profiling and sentiment analysis
60
Using Tsetlin Machine to discover interpretable rules in natural language processing applications
61
A deep learning approach in predicting products’ sentiment ratings: a comparative analysis
62
Improving Sentiment Analysis for Social Media Applications Using an Ensemble Deep Learning Language Model
63
A survey on deep learning for textual emotion analysis in social networks
64
Sentiment analysis with word-based Urdu speech recognition
65
Detecting Product Adoption Intentions via Multiview Deep Learning
66
Detecting formal thought disorder by deep contextualized word representations
67
A Bi-GRU with attention and CapsNet hybrid model for cyberbullying detection on social media
68
Classification of Microblog Users’ Sentiments Based on BERT-BiLSTM-CBAM
69
Cross-lingual alignments of ELMo contextual embeddings
70
Natural Language Processing and Sentiment Analysis for Verbal Aggression Detection; A Solution for Cyberbullying during Live Video Gaming
71
Multimodal Video Sentiment Analysis Using Deep Learning Approaches, a Survey
72
Stock market prediction with deep learning: The case of China
73
Handwritten character recognition using convolutional neural network
74
MalCaps: A Capsule Network Based Model for the Malware Classification
75
Comparative analysis of machine learning-based classification models using sentiment classification of tweets related to COVID-19 pandemic
76
HARC-New Hybrid Method with Hierarchical Attention Based Bidirectional Recurrent Neural Network with Dilated Convolutional Neural Network to Recognize Multilabel Emotions from Text
77
autoBOT: evolving neuro-symbolic representations for explainable low resource text classification
78
Deep Graph-Long Short-Term Memory: A Deep Learning Based Approach for Text Classification
79
ECG Signal Denoising and Reconstruction Based on Basis Pursuit
80
A hybrid deep learning architecture for opinion-oriented multi-document summarization based on multi-feature fusion
81
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis
82
Text Classification Based on Convolutional Neural Networks and Word Embedding for Low-Resource Languages: Tigrinya
83
A review on Video Classification with Methods, Findings, Performance, Challenges, Limitations and Future Work
84
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering
85
A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models
86
SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis
87
Semantic Analysis to Identify Students' Feedback
88
A Mixed approach of Deep Learning method and Rule-Based method to improve Aspect Level Sentiment Analysis
89
IITK at SemEval-2020 Task 8: Unimodal and Bimodal Sentiment Analysis of Internet Memes
90
BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis
91
Exploring deep learning approaches for Urdu text classification in product manufacturing
92
Aspect-based sentiment classification with multi-attention network
93
SENTIMENT ANALYSIS OF PRODUCT REVIEWS IN THE ABSENCE OF LABELLED DATA USING SUPERVISED LEARNING APPROACHES
94
COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images
95
Sentiment Analysis Based on Deep Learning: A Comparative Study
96
A comprehensive study for Arabic Sentiment Analysis (Challenges and Applications)
97
Hybrid Tiled Convolutional Neural Networks (HTCNN) Text Sentiment Classification
98
Aspect-based sentiment analysis with gated alternate neural network
99
Sentiment analysis using deep learning architectures: a review
100
Mining opinions from instructor evaluation reviews: A deep learning approach
101
Improved text sentiment classification method based on BiGRU-Attention
102
A Systematic Review of Emoji: Current Research and Future Perspectives
103
A Hybrid Persian Sentiment Analysis Framework: Integrating Dependency Grammar Based Rules and Deep Neural Networks
104
Aspect-based sentiment analysis via fusing multiple sources of textual knowledge
105
A CNN-BiLSTM Model for Document-Level Sentiment Analysis
106
SENTIMENT ANALYSIS FOR MOVIES REVIEWS DATASET USING DEEP LEARNING MODELS
107
Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning
108
Understanding of the Fintech Phenomenon in the Beholder’s Eyes in South Korea
109
Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review
110
A lazy learning-based language identification from speech using MFCC-2 features
111
Systematic literature review of sentiment analysis on Twitter using soft computing techniques
112
Time series forecasting using artificial neural networks methodologies: A systematic review
113
Fast and scalable neural embedding models for biomedical sentence classification
114
Lexicon-based approach outperforms Supervised Machine Learning approach for Urdu Sentiment Analysis in multiple domains
115
Consensus vote models for detecting and filtering neutrality in sentiment analysis
116
Big data analytics for disaster response and recovery through sentiment analysis
117
Text Classification using Capsules
118
Disaster early warning and damage assessment analysis using social media data and geo-location information
119
Multimodal Sentiment Analysis using Hierarchical Fusion with Context Modeling
120
Web-based application for sentiment analysis of live tweets
121
Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM
122
Sentic LSTM: a Hybrid Network for Targeted Aspect-Based Sentiment Analysis
123
Using long short-term memory deep neural networks for aspect-based sentiment analysis of Arabic reviews
124
Graph-based bag-of-words for classification
125
Sentiment analysis of political communication: combining a dictionary approach with crowdcoding
126
Aspect extraction for opinion mining with a deep convolutional neural network
127
Enriching Word Vectors with Subword Information
128
Gated Neural Networks for Targeted Sentiment Analysis
129
Semisupervised Autoencoder for Sentiment Analysis
130
Recurrent Convolutional Neural Networks for Text Classification
131
VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text
132
Sentiment analysis of sentences with modalities
133
Understanding bag-of-words model: a statistical framework
134
SemEval-2007 Task 14: Affective Text
135
Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
136
Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales
137
Thumbs up? Sentiment Classification using Machine Learning Techniques
138
Bidirectional recurrent neural networks
139
Evidence for universality and cultural variation of differential emotion response patterning.
140
An argument for basic emotions
141
Reducing the Effect of Imbalance in Text Classification Using SVD and GloVe with Ensemble and Deep Learning
142
OUP accepted manuscript
143
Hybrid context enriched deep learning model for fine-grained sentiment analysis in textual and visual semiotic modality social data
144
Combining context-relevant features with multi-stage attention network for short text classification
145
Expert Systems With Applications
146
Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN
