2024 International Conference on Data Mining and Natural Language Processing (DMNLP 2024) will be held during April 12-14, 2024 in Singapore. DMNLP 2024 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.

After a rigorous reviewing process, accepted papers after proper registration and presentation will be included in Conference Proceedings, and submitted to Ei Compendex and Scopus for indexing.

 

Submission and Review Process

Submissions should be sent to our submission system before the submission deadline. All submissions will be subjected to preliminary review and peer-review (double blind).

The preliminary review will take 1-3 working days by the conference committee members, if the submission passed the preliminary review, then it will be sent for peer-reviewed(double blind) by 2-3 Committee Members. The review result comes out within 20-30 days and will be sent to the authors by email along with the review comments. If the paper needs necessary revising (minor or major revisions), the revised version should be submitted again for peer review by the initial reviewer(s). Authors are allowed to submit the revisions within 10 days. If the revisions are accepted by the initial reviewer(s), then the revised papers will be accepted by the conference.

DMNLP 2024 do not accept multiple submissions, plagiarism, and self-plagiarism. Submissions in violation will be rejected without review.