5th International Conference on NLP & Text Mining (NLTM 2025)

February 15 ~ 16, 2025, Chennai, India


Hybrid -- Registered authors can present their work online or face to face New

Scope & Topics


5th International Conference on NLP & Text Mining (NLTM 2025) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Natural Language Processing and Text Mining.

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to:

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

  • Argumentation Mining and Applications
  • Big Data & Business Intelligence
  • Corpus Analysis
  • Deep Learning, Neural Languages and NLP
  • Information Extraction, Retrieval
  • Natural language and Ubiquitous Computing
  • Natural Language in Conceptual Modeling
  • Natural Language Processing
  • NLP techniques for ambient intelligence
  • NLP techniques for Internet of Things (IoT)
  • Question Answering (QA)
  • Semantic Processing & NLP
  • Semantic Web, Open Linked Data, and Ontologies
  • Social Media and Web Analytics
  • Text Mining

Paper Submission

Authors are invited to submit papers through the conference Submission System by November 30, 2024 .

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).

Submit

Important Dates

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Submission Deadline : November 30, 2024

Authors Notification : January 18, 2025

Registration & Camera-Ready Paper Due : January 25, 2025

Courtesy

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Invited Talk





Supported by

IJCNC

Proceedings


Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library