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6th International Conference on NLP & Data Mining (NLDM 2026)

NLDM 2026

URL: https://nldm2026.org/
Event Date: 2026-05-23 ~ 2026-05-24
Submission Date: 2026-02-21
Organizer: NLDM 2026
Location: Vancouver, Canada

Data Mining & Analysis

6^th International Conference on NLP & Data Mining (NLDM 2026)

May 23 ~ 24, 2026, Vancouver, Canada

https://nldm2026.org/index

Scope & Topics

6^th International Conference on NLP & Data Mining (NLDM 2026) offers a premier global platform for researchers, practitioners, and industry experts to exchange knowledge, discuss breakthroughs, and explore emerging trends in Natural Language Processing and Data Mining. As these fields, continue to evolve rapidly driven by advances in large language models, deep learning, multimodal systems, and scalable data analytics. NLDM 2026 aims to foster collaboration and inspire innovative solutions to complex real world challenges.

Authors are invited to submit original research papers, case studies, survey articles, and industrial experiences that showcase significant progress or novel insights. Submissions may address any of the conference topics, including, but not limited to the areas listed below.

Topics of interest include, but are not limited to, the following

Natural Language Processing

Corpus Linguistics and Large Scale Corpus Analysis

Information Extraction and Information Retrieval

Text Mining and Document Understanding

Question Answering, Reading Comprehension and Machine Reasoning

Argumentation Mining and Discourse Analysis

Semantic Processing, Semantic Role Labeling and Meaning Representation

Knowledge Processing and Knowledge Enhanced NLP

Natural Language in Conceptual Modeling

Machine Learning, Deep Learning and Foundation Models

Deep Learning for NLP (Transformers, Attention Models, RNNs, etc.)

Large Language Models (LLMs) and Foundation Models

Prompt Engineering, Fine Tuning and Adaptation Techniques

Multimodal Learning (Text + Vision, Speech, Graphs)

Self Supervised, Weakly Supervised and Unsupervised NLP

Generative Models (LLMs, Diffusion Models for Text)

Efficient NLP (Model Compression, Distillation, Quantization)

Trustworthy, Explainable and Robust NLP

Applied NLP and Emerging Domains

NLP for Internet of Things (IoT) and Ambient Intelligence

Conversational AI, Dialogue Systems and Chatbots

Speech Language Integration and Multimodal Conversational Systems

NLP for Healthcare, Legal, Finance and Scientific Texts

NLP for Education, Assessment and Intelligent Tutoring

Social Media NLP, Misinformation Detection and Sentiment Analysis

Computational Social Science and Digital Humanities

Cross Lingual, Multilingual and Low Resource NLP

Data Mining Foundations

Data Mining Theory, Algorithms and Optimization

Pattern Recognition, Clustering and Classification

Graph Mining, Network Analysis and Knowledge Graphs

Temporal, Spatial and Spatio Temporal Data Mining

Big Data Analytics and Scalable Data Mining Architectures

Data Quality, Data Cleaning and Data Integration

Data Mining Applications

Business Intelligence and Predictive Analytics

Recommender Systems and Personalization

Fraud Detection, Anomaly Detection and Risk Analytics

Web Mining, Social Network Mining and Behavioral Analytics

Mining Scientific, Biomedical and Sensor Data

Edge, Cloud and Distributed Data Mining

Semantic Web, Linked Data and Knowledge Technologies

Semantic Web, Ontologies and Open Linked Data

Knowledge Graph Construction, Completion and Reasoning

Hybrid Neuro Symbolic AI

Semantic Search and Intelligent Information Systems

Ethics, Safety and Responsible AI

Fairness, Accountability and Transparency in NLP and Data Mining

Bias Detection and Mitigation in Language Models

Privacy Preserving NLP and Federated Learning

Ethical Data Collection, Annotation and Benchmarking

Paper Submission

Authors are invited to submit papers through the conference Submission System by February 21, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).