5th International Conference on Data Mining and NLP (DNLP 2024)

Scope & Topics Call for Participation Program Schedule

5^thInternational Conference on Data Mining and NLP (DNLP 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Data mining and NLP. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding Data mining and NLP concepts and establishing new collaborations in these areas.

Authors are solicited to contribute to this 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:

Chunking/Shallow Parsing
Data Mining Applications
Data Mining in Modeling, Visualization, Personalization, and Recommendation
Data Mining Systems and Platforms, Efficiency, Scalability, and Privacy
Dialog Systems
Discourse
Foundations, Algorithms, Models, and Theory
Information Extraction
Information Retrieval
Knowledge Processing
Lexical Semantics
Linguistic Resources
Machine Translation
Mining Text, Semi-Structured, Spatio-Temporal, Streaming, Graph, Web, Multimedia
NLP and AI, Data Mining
NLP and Computational Linguistics
NLP and Information Retrieval
NLP and Machine Learning
Ontology
Paraphrasing/Entailment/Generation
Parsing/Grammatical Formalisms
Phonology, Morphology
POS Tagging
Question Answering
Semantic Processing
Speech Recognition and Synthesis
Spoken Language Processing
Statistical and Knowledge based Methods
Text Mining

Paper Submission

Authors are invited to submit papers through the conference Submission System by Closed .

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).

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