SCOPE
International Conference on NLP & Text Mining (NLTM 2021) 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 these topics only.
PAPER SUBMISSION
SAMPLE TEMPLATE
Due to the current COVID-19 pandemic, registered authors are now able to present their work through our online platforms
TOPICS OF INTEREST
Text Mining
Social Media and Web Analytics
Semantic Web, Open Linked Data, and Ontologies
Semantic Processing & NLP
Question Answering (QA)
NLP techniques for Internet of Things (IoT)
NLP techniques for ambient intelligence
Natural Language Processing
Natural Language in Conceptual Modeling
Natural language and Ubiquitous Computing
Information Extraction, Retrieval
Deep Learning, Neural Languages and NLP
Corpus Analysis
Big Data & Business Intelligence
Argumentation Mining and Applications
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).
Selected papers from NLTM 2021, after further revisions, will be published in the special issue of the following journals
International Journal of Data Mining & Knowledge Management Process (IJDKP)
International Journal of Ambient Systems and Applications (IJASA)
International Journal of Grid Computing & Applications (IJGCA)
CONFERENCE PROCEEDINGS
Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.
SPEAKERS
QIN Jun
Communication University of China, China
Hamidah Ibrahim
Universiti Putra Malaysia, Malaysia
Jason Munger
Worcester Polytechnic Institute, USA
Pravin Chandran
Intel Technology India Pvt. Ltd, Bengaluru, India