3^rd International Conference on Data Mining and NLP (DNLP 2022) 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 the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of data mining and NLP.

• Data Mining Applications

• Data Mining in Modeling, Visualization, Personalization, and Recommendation

• Data Mining Systems and Platforms, Efficiency, Scalability, and Privacy

• Foundations, Algorithms, Models, and Theory

• Mining Text, Semi-Structured, Spatio-Temporal, Streaming, Graph, Web, Multimedia

• Knowledge Processing

• Chunking/Shallow Parsing

• Dialog Systems

• Discourse

• Information Extraction

• Information Retrieval

• Lexical Semantics

• Linguistic Resources

• Machine Translation

• 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

• NLP and Machine Learning

• NLP and Computational Linguistics

• NLP and Information Retrieval

• NLP and AI, Data Mining