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Ei/Scopus-DMNLP 2026 : 2026 3rd International Conference on Data Mining and Natural Language Processing (DMNLP 2026)

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Link: http://www.dmnlp.net/
 
When Apr 24, 2026 - Apr 26, 2026
Where Singapore
Submission Deadline Mar 24, 2026
Categories    data mining   natural language processing   multimedia   web mining
 

Call For Papers

2026 3rd International Conference on Data Mining and Natural Language Processing (DMNLP 2026)
Location: Singapore
Dates: April 24-26, 2026
Website: http://www.dmnlp.net/
E-mail: dmnlp_conf@163.com
Conference Format: Online and In-person


2026 3rd International Conference on Data Mining and Natural Language Processing (DMNLP 2026) is to bring together leading academic scientists, research scholars and researchers to share and exchange their experiences and research results about all aspects of Data Mining and Natural Language Processing. It would also provide a premier interdisciplinary forum for researchers, practitioners and educators to present and discuss the most recent innovations, trends, concerns, practical challenges encountered and the solutions adopted in the field of Data Mining and Natural Language Processing.

Prospective authors are invited to submit high-quality original research and technical contributions for presentations and posters in conference. Accepted papers will be included in the conference proceedings.

Topics:
Image Data Mining
NLP and Knowledge Graphs in Optical Engineering
Data Mining for Optical and Sensor Data
NLP for Multimodal Optical Systems
Advanced Data Mining Techniques for Optical Systems
AI-Driven Optical Information Processing
Cyber-security Analysis
Speech Recognition
Multimodal Fusion of Text and Optical Data
Multilingual NLP
(For more topics: http://www.dmnlp.net/topics.html)

Paper Publication and Indexing:
DMNLP 2026 accepted and presented papers will be published by SPIE, which will be included in SPIE Digital Library and indexed by Ei Compendex, Scopus, and CPCI (Web of Science).
Previous Publication and indexing:
*DMNLP 2025 Conference Proceeding has been published by SPIE, and will be indexed by Ei and Scopus soon! (more info.).
*DMNLP 2024 Conference Proceeding has been published by ACM, indexed by Ei and Scopus successfully! (more info.).

Paper Submission (Choose one way to submit your paper):
1. Submission System: https://cmt3.research.microsoft.com/DMNLP2026/ (Recommend)
2. Email Submission: dmnlp_conf@163.com

You are also welcome to join us as:
As Presenter: If you want to share you latest research results by giving presentation without publishing papers, please submit your abstract (300-400 words)
As Listener: You are also warmly welcomed to take part in DMNLP 2026 as a listener even though you have no paper to submit.
As Reviewer: To ensure the fairness and to guarantee the quality of DMNLP 2026, we cordially invite experts and scholars join us as a reviewer.

DMNLP 2026 Speakers:
Prof. LING Tok Wang, National University of Singapore, Singapore
Prof. Xiaoli Li (IEEE Fellow, AAIA Fellow), Nanyang Technological University, Singapore
Prof. Teh Ying Wah, University of Malaya, Malaysia
Prof. Jixin Ma, University of Greenwich, UK

Contact us:
Conference Secretary: Ms. Caroline Li
Email: dmnlp_conf@163.com
Tel: +852 92562476
Website: http://www.dmnlp.net/

Related Resources

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AMLDS 2026   IEEE--2026 2nd International Conference on Advanced Machine Learning and Data Science
ICDM 2026   The 26th IEEE International Conference on Data Mining
DMML 2026   7th International Conference on Data Mining & Machine Learning
Ei/Scopus-CMLDS 2026   2026 3rd International Conference on Computing, Machine Learning and Data Science (CMLDS 2026)
CTADS 2026   2026 2nd International Conference on Communication Technology and Data Security-EI/Scopus
DBDM 2026   14th International Conference on Database, Data Mining and Artificial Intelligence
CACML 2026   2026 5th Asia Conference on Algorithms, Computing and Machine Learning (CACML 2026)
IJITCS 2026   International Journal of Information Technology Convergence and services
NLPI 2026   7th International Conference on NLP & Information Retrieval