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BigTMS&AI@ICCCI 2022 : Special Session on Big Text Mining Searching & Artificial Intelligence @ICCCI
BigTMS&AI@ICCCI 2022 : Special Session on Big Text Mining Searching & Artificial Intelligence @ICCCI

BigTMS&AI@ICCCI 2022 : Special Session on Big Text Mining Searching & Artificial Intelligence @ICCCI

TUNISIA
Event Date: September 28, 2022 - September 30, 2022
Submission Deadline: March 15, 2022
Notification of Acceptance: April 15, 2022
Camera Ready Version Due: May 01, 2022




Call for Papers

Special Session Organizers
Prof. Rim Faiz
Department of Computer Science
IHEC, University of Carthage, Tunisia
Laboratory LARODEC
E-mail: [email protected]

Dr. Seifeddine Mechti
Department of Human Sciences
University of Sports and Physical Activities, Tunisia
ISSEPS, University of Sfax, Tunisia
Laboratory MIRACL and LARODEC
E-mail: [email protected]

Objectives and topics
The exceptional growth of data sizes available on the Web, especially with the wide use of social networks has changed data processing. Then, traditional technologies are unable to handle this massive data. They presented often multidimensional constraints; Data come from different sources with diverse formats, should be treated in real time, and may be subject to different interpretations depending on the status of the end user. This is what has led to the emergence of Big Data.
This special issue is intended to provide an overview of the new research being carried out in the area of Big text mining searching focusing on emerging machine learning, deep learning methods and approaches for single and multiple language learning, understanding, generation and grounding, question answering and information retrieval, as well as applications of them to different domains like e-health and e-learning.
To this aim, the special session aims to gather researchers with broad expertise in various fields to discuss their cutting-edge work as well as perspectives on future directions in this exciting field. Original contributions are sought, covering the whole range of theoretical and practical aspects, technologies and systems in this research area.
BigTMS&AI 2022 has the goal of a broad technical program. Relevant topics for the Session include, but are not limited to, the following areas (in alphabetical order):
• Big Data Management
• Big Text Mining and Information Extraction
• Big Data Analytics and Information Retrieval
• Artificial Intelligence
• Computational Social Science and Cultural Analytic
• Dialogue and Interactive Systems
• Discourse and Pragmatics
• Efficient Methods for NLP
• Ethics and NLP
• Generation
• Information Extraction
• Information Retrieval and Text Mining
• Interpretability and Analysis of Models for NLP
• Linguistic Theories, Cognitive Modeling and Psycholinguistics
• Machine Learning for NLP
• Machine Translation and Multilinguality
• NLP Applications
• Phonology, Morphology and Word Segmentation
• Question Answering
• Resources and Evaluation
• Semantics: Lexical, Sentence level, Textual Inference and Other areas
• Sentiment Analysis, Stylistic Analysis, and Argument Mining
• Speech, Vision, Robotics, Multimodal Grounding
• Summarization

Important dates
Submission of papers: March 15, 2022
Notification of acceptance: April 15, 2022
Camera-ready papers: May 1, 2022
Registration & payment: June 1, 2022
Conference date: September 28-30, 2022
Program Committee
Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), USA
Hadhemi Achour, ISG Tunis, Tunisia
Roobaea Alroobaea,Taif University, Saudia Arabia
Rajakumar Arul, School of Engineering, Bengaluru, India
Qasem Abu Al-Haija, Princess Soumaya University for Technology, Jordan
Hamilton Wilfried Yves Adoni, International University of Casablanca, Morocco
Afef Bahri, ESC Tunis, Tunisia
Walid Bannour,University of Gabes, Tunisia
Leila Bayoudhi,University of Sfax,Tunisia
Chedi Bechikh,ISG Tunis, Tunisia
Mohamed Ben Aouicha, Data EngIneering and Semantics Research Unit, University of Sfax,Tunisia
Sami Benslama, King Abdul Aziz University, Saudi Arabia
Nicola Luigi Bragazzi, York University, Toronto, Canada
Soumaya Cherichi, IHEC Carthage, Tunisia
Sami Faiz, ISAMM, University of Manouba, Tunisia
Riadh Farah, ISAMM, University of Manouba, Tunisia
Mohamed Ali Hadj Taieb,Data Engineering and Semantics Research Unit, University of Sfax,Tunsia
Moez Krichen, Al Baha University, Saudi Arabia
Ameni Kacem, SEAFRIGO, Lehavre,France
Tahar Labidi, University of Sfax,Tunisia
Tarik Nahal, Universite Hassan 2, Morocco
Samir Ouchani, Ecole d’Ingénieur CESI, Aix-en-Provence, France
Sondess Missaoui, Intelligence · University of York, United Kingdom
Nouha Othman,Caplogy, Paris, France

Submission
All contributions should be original and not published elsewhere or intended to be published during the review period. Authors are invited to submit their papers electronically in pdf format, through EasyChair. All the special sessions are centralized as tracks in the same conference management system as the regular papers. Therefore, to submit a paper please activate the following link and select the track: BigTMS&AI 2022: Special Session on Big Text Mining Searching & Artificial Intelligence.

https://easychair.org/conferences/?conf=iccci20220

Authors are invited to submit original previously unpublished research papers written in English, of up to 13 pages, strictly following the LNCS/LNAI format guidelines. Authors can download the Latex (recommended) or Word templates available at Springer's website. Submissions not following the format guidelines will be rejected without review. To ensure high quality, all papers will be thoroughly reviewed by the BigTMS&AI 2022 Program Committee. All accepted papers must be presented by one of the authors who must register for the conference and pay the fee. The conference proceedings will be published by Springer in the prestigious series LNCS/LNAI (indexed by ISI CPCI-S, included in ISI Web of Science, EI, ACM Digital Library, dblp, Google Scholar, Scopus, etc.).


Credits and Sources

[1] BigTMS&AI@ICCCI 2022 : Special Session on Big Text Mining Searching & Artificial Intelligence @ICCCI


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