Python for Language Sciences and Social Sciences

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Python for Language Sciences and Social Sciences

Learn Python, corpus building, NLP, data visualization, and research reporting with LexData.

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Leadership & Team

Meet the people behind LexData

A multidisciplinary team of researchers, educators, AI trainers, and technical coordinators.

Full Team
Shanshan Xiao

Core Team

Shanshan Xiao

Lead Technical Coordinator

Shanghai International Studies University

Shanshan Xiao is a PhD scholar in Language Sciences at Shanghai International Studies University, with a master's in English Linguistics and a bachelor's in Computer Science. Her interdisciplinary research applies corpus linguistics, textual analysis, and machine learning to explore language in institutional and digital contexts, including diplomatic discourse, AI-mediated translation, and healthcare communication. She has presented her work at international conferences including AILA (Malaysia), PACLIC (Japan), and CADAAD (Poland), and has published in journals such as Cogent Arts & Humanities and IEEE Access. Shanshan is actively involved in the academic community as a non-profit organizer for CISMA and as a workshop leader on digital research methods and annotation design.

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Executive Leadership

Dr. Muhammad Ali Asiri

Co-Founder

Supports academic collaboration, institutional strategy, and research-driven growth.

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Advisory Board

Dr. Rafi Ullah

AI & Python Trainer and Advisor

University of Liverpool

Advises and trains on AI, Python, digital research methods, and applied data workflows.

LexData Academy

Built for research, education, and real-world data practice

LexData helps students, teachers, researchers, and institutions develop practical data skills for language sciences, translation, education, ELT, and social sciences.

Corpus Development

Build, clean, organize, annotate, and analyze language and social data for academic and institutional projects.

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Practical training in Python, NLP, data visualization, research methods, AI tools, and academic writing.

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Support for data analysis, publication preparation, research design, reporting, and digital research workflows.

Featured Training

Python for Language Sciences and Social Sciences

Learn how to collect textual data, clean datasets, build research corpora, perform basic NLP, visualize findings, and prepare research reports.

Python + Research Data
Corpus Building + NLP
SPSS, R, Power BI
Academic Writing + Publication Support

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