TÜBİTAK 1001 PROJECT

Ottoman Socio-Political Network Analysis

A Socio-Political Network Analysis from the Late Ottoman Empire to Early Republican Periods: Re-evaluating Personal Narratives through Artificial Intelligence (1900-1940)

Izmir Institute of Technology Host Institution
2024-2026 Project Duration
175+
Historical Sources
3+
AI Models
40+
Years Period

Where Digital Humanities Meets Artificial Intelligence

Re-interpreting history by analyzing period testimonies from 1900-1940 with artificial intelligence

This project is designed to understand the impact of interpersonal relationships and socio-political networks on political history during the final period of the Ottoman Empire and from the establishment of the Republic to the 1940s, utilizing artificial intelligence technology.

Using 210 sources witnessing the period between 1900-1940, socio-political network analysis is being conducted through texts containing period testimonies such as memoirs, reminiscences, autobiographies, and diaries.

The project focuses on the emotional states between individuals at word, sentence, and paragraph levels through natural language processing (NLP) tools to understand the dimensions of interpersonal relationships.

Sentiment Analysis Predicting emotional states in texts
Interpersonal Relationships Conveying relationship statuses at sentence level
Network Visualization Analysis with Gephi, NodeXL, NetworkX
OSPA Network Visualization

175 Historical Sources

Memoirs, reminiscences, autobiographies and diaries containing period testimonies

Artificial Intelligence & NLP

Modern language models and sentiment analysis techniques

Social Network Analysis

Mapping and visualization of interpersonal relationships

Digital Humanities

Analysis of historical data with an interdisciplinary approach

Our Interdisciplinary Expert Staff

Our academic experts in history, linguistics and computer science

Dr. Mustafa İLTER

Project Director

PhD: Boğaziçi University, Institute of Atatürk Principles and Revolution History, 2021

History Digital Humanities NLP

Prof. Dr. Sezen KARABULUT

Researcher

PhD: Dokuz Eylül University, Institute of Atatürk Principles and Revolution History, 2010

Women's Memoirs Republican History

Dr. Yasemin ÖZCAN GÖNÜLAL

Researcher

PhD: Dokuz Eylül University, Turkish Language and Literature, 2012

Modern Turkish Language Sociolinguistics

Dr. Doğan EVECEN

Researcher

PhD: Kocaeli University, Turkish Language and Literature, 2021

Classical Turkish Literature Sufism

Assoc. Prof. Selma TEKİR

Consultant

PhD: Ege University, Computer Engineering, 2010

Deep Learning Text Analysis

Dr. Buket ERŞAHİN

Researcher

PhD: Dokuz Eylül University, Computer Engineering, 2021

Text Mining Software Engineering

Emre ONUÇ

MA Student

BA: Pamukkale University

Digital Humanities Republican History

Eylem BOĞA

MA Student

BA: Dokuz Eylül University

History

Sibel Alaeddinoğlu

PhD Student

BA & MA: Dokuz Eylül University

History

Our Open Source AI Models and Research Outputs

Review our models and research outputs published on HuggingFace and GitHub

1

General Sentiment Analysis Model

A sentiment analysis model developed to analyze general emotional states in historical texts from the late 19th and early 20th centuries. It detects positive, negative and neutral emotional states with high accuracy.

Sentiment Analysis NLP Fine-tuning
2

CISA - Cross-Individual Sentiment Analysis

A sentiment analysis model developed to analyze interpersonal relationships in historical texts. Our model developed with the DECA-EBSA method is designed to understand the author's emotional state towards individuals in sentences.

Sentiment Analysis NLP Fine-tuning
3

Named Entity Recognition (NER)

NER model that automatically identifies person, place and institution names in historical texts.

NER Entity Recognition SpaCy
4

OCR

Application tool for digitizing complex and irregular texts from the 19th and 20th centuries and Optical Character Recognition.

OCR Computer Vision Text Recognition
5

Social Network Visualization Tools

Interactive network analysis tools developed to visualize interpersonal relationships. Offers rich visualizations with Gephi, NetworkX and D3.js integration.

Network Analysis Gephi Visualization
6

Period Texts Dataset

A labeled and structured dataset consisting of period testimonies from 1900-1940. It is offered as open access for researchers.

Dataset Open Access Annotated

Get In Touch

Address

Izmir Institute of Technology
General Culture Department
Gülbahçe, Urla, Izmir 35430

Collaboration Opportunities

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