Dear Colleague,
We are organizing the Fourth Edition of the Special Session on "Recent Advances on Text and Document Streams Mining".
The session will be part of the program of the "IEEE International Conference on Evolving and Adaptive Intelligent Systems 2026 (IEEE EAIS 2026)", which will be held in Pisa, Italy, September 21-23, 2026.
The aim of this special session is to provide a forum for researchers and practitioners from both academia and industry to present and discuss recent advances, novel methodologies, and practical solutions for extracting actionable knowledge from streams of text and documents. The session welcomes contributions that advance the state of the art in designing intelligent systems capable of handling the unstructured nature of textual data while maintaining long-term performance in continuously evolving environments.
Potential topics of interest include but are not limited to:
- Concept Drift Detection in Text and Document Classification and Clustering
- Incremental and Online Learning of models for Text and Document Mining
- Neural Models and Deep Learning for Streaming Text Data
- Explainable and Interpretable Models for Text Stream Mining
- Text and Document Categorization
- Text and Document Summarization
- Fake News Detection and Misinformation Analysis
- Consensus and Conflict Analysis from Multi-Source Text Streams
- Sentiment Analysis and Opinion Mining
- Social Sensing from Textual Data
- Scientific Document Analysis
- Community Discovery from Textual Sources
- Event Detections from Textual Sources
- Crawling and Scraping Solutions for Streams of Texts and Documents
- Benchmarking, Datasets, and Evaluation Protocols for Text Streams
- Industrial Applications of Text Stream Mining Systems
All accepted papers will be included in the EAIS-2026 proceedings, published on the IEEE Xplore Digital Library.
The deadline for the submission of papers is approaching: March 15, 2026.
For any additional inquiries, please feel free to contact us.
Best regards,
Alessandro Renda, Manuel Jesús Cobo Martín, Ignacio Javier Pérez Gálvez, Michela Fazzolari, Fabrizio Ruffini
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Manuel Jesús Cobo Martín (Associate professor).
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Dept. Computer Science and Artificial Intelligence
University of Granada. 18071 Granada SPAIN
twitter: @mjcobomartin
ORCID:
https://orcid.org/0000-0001-6575-803XResearch ID:
https://www.webofscience.com/wos/author/record/C-5581-2011Google Scholar profile:
http://scholar.google.com/citations?user=sc5Kz0oAAAAJ-------------------------------------------------------------------------------------------------------------------------------
Research Group: Intelligent Social Knowledge-based Systems (IntellSOK) - TIC256
Principal Investigator of iScience research project PID2019-105381GA-I00 (
iscience.uca.es)
Member of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI)
Member of the Unit for Computational Humanities and Social Sciences (U-CHASS)
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