Mathematical and Computational Modeling of Language and Social Behaviors

Dear Colleagues,

Computational, mathematical, and quantitative linguistics are three branches of language sciences that employ mathematical models. Natural language processing (NLP) on the other hand, is the computational application of such language modeling. With the maturity of machine learning and accessibility of internet data as a record of human activities, NLP recently made significant progress in areas such as Sentiment and/or Emotion Analysis, and fake news detection. In addition, NLP has been adopted in areas with immediate societal impacts such as in the Financial domain and Medical Informatics. All these developments involve internet language big data-driven computational modeling of collective human behaviors and decisions that lead to NLP tools to help resolve the grand challenges of our time.

The purpose of this Special Issue is to highlight the contributions of quantitative modeling and NLP technology to understanding collective human behaviors and to help resolve some of the greatest challenges of our time. We welcome new or improved methods to model linked data from heterogeneous sources and their computational application to solve real-world problems. 

Prof. Dr. Chu Ren Huang
Dr. Mingyu Wan
Guest Editors

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• affective computing
• natural language processing
• machine learning
• quantitative linguistics
• data analytics
• causality and correlation
• collective human behaviors
• FinNLP
• opinion mining
• grand challenges