A survey on data augmentation for text classification
Data augmentation, the artificial creation of training data for machine learning by
transformations, is a widely studied research field across machine learning disciplines …
transformations, is a widely studied research field across machine learning disciplines …
A systematic review of applications of natural language processing and future challenges with special emphasis in text-based emotion detection
Artificial Intelligence (AI) has been used for processing data to make decisions, Interact with
humans, and understand their feelings and emotions. With the advent of the Internet, people …
humans, and understand their feelings and emotions. With the advent of the Internet, people …
[HTML][HTML] SRL-ACO: A text augmentation framework based on semantic role labeling and ant colony optimization
A Onan - Journal of King Saud University-Computer and …, 2023 - Elsevier
The process of creating high-quality labeled data is crucial for training machine-learning
models, but it can be a time-consuming and labor-intensive process. Moreover, manual …
models, but it can be a time-consuming and labor-intensive process. Moreover, manual …
A multi-stage data augmentation and AD-ResNet-based method for EPB utilization factor prediction
Building a high-accuracy utilization factor prediction model for tunnel boring machine with
limited available data is a research challenge. To solve the problem mentioned above, a …
limited available data is a research challenge. To solve the problem mentioned above, a …
Generative pre-trained transformer (GPT) in research: A systematic review on data augmentation
F Sufi - Information, 2024 - mdpi.com
GPT (Generative Pre-trained Transformer) represents advanced language models that have
significantly reshaped the academic writing landscape. These sophisticated language …
significantly reshaped the academic writing landscape. These sophisticated language …
A Review on Text-Based Emotion Detection--Techniques, Applications, Datasets, and Future Directions
Artificial Intelligence (AI) has been used for processing data to make decisions, interact with
humans, and understand their feelings and emotions. With the advent of the internet, people …
humans, and understand their feelings and emotions. With the advent of the internet, people …
GDA: Generative data augmentation techniques for relation extraction tasks
Relation extraction (RE) tasks show promising performance in extracting relations from two
entities mentioned in sentences, given sufficient annotations available during training. Such …
entities mentioned in sentences, given sufficient annotations available during training. Such …
Improving automated evaluation of student text responses using gpt-3.5 for text data augmentation
In education, intelligent learning environments allow students to choose how to tackle open-
ended tasks while monitoring performance and behavior, allowing for the creation of …
ended tasks while monitoring performance and behavior, allowing for the creation of …
Challenges and opportunities of text-based emotion detection: A survey
A Al Maruf, F Khanam, MM Haque, ZM Jiyad… - IEEE …, 2024 - ieeexplore.ieee.org
Emotion detection has become an intriguing issue for researchers owing to its
psychological, social, and commercial significance. People express their feelings directly or …
psychological, social, and commercial significance. People express their feelings directly or …
Multi-level fine-tuning, data augmentation, and few-shot learning for specialized cyber threat intelligence
Gathering cyber threat intelligence from open sources is becoming increasingly important for
maintaining and achieving a high level of security as systems become larger and more …
maintaining and achieving a high level of security as systems become larger and more …