NLPIR 2026 Spcial Session 3
Topic: Advances in Language Processing, Text Analytics, and Knowledge Discovery
Organizer(s): Dr. Ruhaila Maskat, Universiti Teknologi MARA (UiTM), Malaysia
The rapid growth of digital information has created new opportunities and challenges in natural language processing, text analytics, data mining, and knowledge discovery. Advances in language technologies, computational linguistics, and data-driven methods are enabling more sophisticated approaches to understanding, processing, and extracting valuable insights from large-scale textual and multimodal data.
This special session aims to bring together researchers and practitioners to explore recent advances in language processing, linguistic analysis, semantic technologies, information retrieval, and intelligent content analysis. Topics of particular interest include fundamental NLP techniques, low-resource language processing, multilingual and cross-lingual adaptation, knowledge acquisition, neuro-symbolic integration, sentiment analysis, document understanding, and multimodal information retrieval. The session also encourages research on emerging applications involving social media analytics, misinformation detection, conversational AI, and evolving language models.
By fostering interdisciplinary collaboration among researchers in data science, linguistics, computer science, and information systems, this session seeks to promote innovative methodologies and practical solutions for intelligent information processing and knowledge discovery.
Topics of Interest:
1. Foundations of Language Processing
Natural Language Processing and Computational Linguistics
Text Mining, Data Mining, and Corpus Linguistics
Psycholinguistic Modeling
Tokenization, POS Tagging, Lemmatization, and Dependency Parsing
Semantic Role Labeling and NLP Pipelines
Low-Resource Language Processing and Cross-Lingual Adaptation
2. Linguistic Analysis and Language Understanding
Syntax, Semantics, and Discourse Analysis
Pragmatics and Language Understanding
Multimodal Speech Recognition and Synthesis (ASR/TTS)
Conversational AI and Dialogue Systems
Diachronic Corpora and Temporal Reasoning
Evolving Language Models
3. Knowledge Systems and Semantic Technologies
Automated Knowledge Acquisition and Knowledge Graph Construction
Ontology Generation, Alignment, and Management
Semantic Web Technologies
Neuro-Symbolic AI and Hybrid Reasoning
Knowledge Representation and Semantic Reasoning
Database-Driven Knowledge Management
4. Content Analysis and Information Retrieval
Topic Modeling and Document Classification
Event Detection and Anomaly Detection
Sentiment and Emotion Analysis
Automatic Text Summarization
Plagiarism Detection and Authorship Attribution
Personalized and Dynamic Information Retrieval
Adversarial Retrieval and Cross-Language Information Retrieval
5. Social Media and Multimedia Analytics
Social Media Mining and Text Analytics
Personality and Emotion Detection
Misinformation and Fake News Detection
Multimodal Information Retrieval (Text, Image, and Video)
Social Media Event Analysis and Virality Prediction
Multimedia Content Understanding and Analysis
6. Data Science and Intelligent Information Systems
Big Data Analytics and Knowledge Discovery
Data Mining Algorithms and Applications
Text and Unstructured Data Management
Database Technologies for Intelligent Information Processing
Scalable Data Processing and Analytics
Applications of AI and Machine Learning in Language and Data Analysis