Neural Network Technologies in Natural Language Processing and Data Mining
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 August 2024 | Viewed by 1679
Special Issue Editors
Interests: artificial intelligence; machine learning; interpretable machine learning; educational data mining; natural language processing; machine translation
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; data science; machine learning; explainable artificial intelligence; explainable machine learning; human-centric AI; trustworthy Internet of Things systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Neural network technologies have revolutionized the fields of natural language processing (NLP) and data mining, as well as the way we process and extract hidden insights from vast amounts of textual data. Neural networks play a central role in uncovering patterns and trends from unstructured complex data sources. The have been successfully applied in all sorts of classification and regression tasks, as well as in clustering, anomaly detection, association rule extraction, etc. Different types of neural networks are used depending on the application. BERT, GPT, and T5 are among the most notable transformer architectures applied in NLP tasks such as language understanding, generation, summarization, question answering, and translation. They all share the fundamental concept of leveraging self-attention mechanisms. Both NLP and data mining fields evolve over time and continue to explore new variations and enhancements to address different tasks and challenges in a more efficient and effective manner.
This Special Issue of Applied Sciences covers all application areas of neural network technologies in the fields of natural language processing (NLP) and data mining. It aims to show how neural network technologies have addressed long-standing challenges in these areas, as well as how they give rise to new challenges.
Both original research articles and comprehensive review articles are welcome.
Topics of interest in this Special Issue include various applications of neural networks such as:
- Topic modeling;
- Text classification;
- Automatic language translation;
- Text generation;
- Profiling;
- Language understanding;
- Named entity recognition;
- Information extraction;
- Social media analysis;
- Pattern recognition;
- Classification;
- Regression;
- Anomaly detection;
- Association rule extraction;
- Feature extraction;
- Dealing with imbalanced and biased data sets;
- Biases in language models;
- Emerging trends.
Prof. Dr. Marija Brkić Bakarić
Prof. Dr. Maja Matetic
Guest Editors
Manuscript Submission Information
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Keywords
- neural network technologies
- natural language processing (NLP)
- data mining
- classification
- regression
- clustering
- anomaly detection
- association rule extraction
- transformer
- language understanding
- generation
- summarization
- question answering
- translation
- self-attention mechanisms
