[Event at CIG] ML-SDA @ ICCCI 2022 Extended Deadline

[Hasna Njah]

Dear colleagues,



(Apologies for cross-posting.)



We are pleased to announce the special session on Machine Learning for
Social Data Analytics (ML-SDA 2022) that will be held under the 14th
International
Conference on Computational Collective Intelligence (ICCCI 2022) (*Core
ranking: B*) on September 28th to 30th, 2022 in Hammamet, a beautiful
Mediterranean town on the shores of Tunisia.

You can find further information below.

We appreciate it if you kindly forward this call to anyone who may be
interested in submitting a proposal.



ML-SDA 2022 chairs,

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Submission Deadline: *April 1, 2022 (Extended)*

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*ML-SDA 2022*

*Special Session on Machine Learning for Social Data Analytics*

http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=155997



at the 14th International Conference on Computational Collective
Intelligence (ICCCI 2022) Hammamet, Tunisia, September 28-30, 2022

https://iccci.pwr.edu.pl/2022/

(*Core ranking: B*)





*DESCRIPTION:*

Nowadays, social networks play a crucial role in every aspect of our daily
life. They are seen as huge data mines that attract researchers to tackle
several challenges. Ranging from predicting users’ simple reactions to
representing more complex personality features, mining social data clears
the way for promising applications that significantly impact our real-life.
Meanwhile, machine learning methods, characterized by recent breakthroughs
of Deep Learning and Big Data, yield ultrapractical models dealing with
data analytics. Following these advancements, text processing for example,
has never been as intuitive as it is today. Particularly, embedding data,
as dense vectors, ensures faithful representations of the text content
making it possible to use the wide spectrum of machine learning methods for
social data analytics. Analogically, mining other social data types (image,
video, reactions, etc.) and layouts (graph, time series, sequential, etc.)
has known remarkable success owing to the recent developments in machine
learning methods.



*MAIN GOALS:*

The main objective of the 2022 Special Session on Machine Learning for
Social Data Analytics (ML-SDA 2022), hosted in the 14th International
Conference on Computational Collective Intelligence (ICCCI 2022) is to
bring together scientists, researchers, engineers, and practitioners to
present and to discuss recent and innovative research papers that address
the breakthroughs of machine learning in social data analytics. It focuses
on new methods, models and applications that use machine learning to
process social data and namely to extract useful knowledge from it. The ML-
SDA 2022 topics of interest deal with, but are not limited to, the use of
different types of machine learning methods for:

·       Sentiment and opinion mining

·       Emotion detection

·       Hate speech analysis

·       Streaming data processing

·       Multilingual content processing

·       Hot Topic detection and tracking

·       Abnormal and fake content identification

·       Irony and sarcasm detection

·       User behavior modeling and prediction

·       Link prediction

·       Community detection

·       Opinion evolution modeling

·       Social influence modeling

·       Influencer detection

·       Popularity prediction

·       User Profiling from social data

·       Recommendation systems using social data





*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: ML-SDA 2022:
Special Session on Machine Learning for Social Data Analytics.

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 ML-SDA 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.).



*IMPORTANT DATES:*

Submission Deadline: *April 1, 2022 (Extended)*

Notification Due: May 15, 2022

Final Version Due: June 1, 2022



*SPECIAL SESSION CHAIRS:*

Salma Jamoussi (University of Sfax, Tunisia)

Hanen Ameur (University of Sfax, Tunisia)

Hasna Njah (University of Gabes, Tunisia)