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, ----------------------------------------------------------- Submission Deadline: *Mar 15, 2022* ----------------------------------------------------------- *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: Mar 15, 2022 Notification Due: Apr 15, 2022 Final Version Due: May 1, 2022 *SPECIAL SESSION CHAIRS:* Salma Jamoussi (University of Sfax, Tunisia) Hanen Ameur (University of Sfax, Tunisia) Hasna Njah (University of Gabes, Tunisia) -- Hasna NJAH, PhD Computer Sciences - Datamining Assistant Professor at Higher Institute of Computer Sciences and Multimedia of Gabes University of Gabes - Tunisia Member at Multimedia, InfoRmation Systems and Advanced Computing Laboratory (MIRACL) - Tunisia *www.miracl.rnu.tn <http://www.miracl.rnu.tn>* http://orcid.org/0000-0002-0050-7173
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