Project Ideas

1. Intertextuality in Modern Literature (Turkish or World Literature)

• Text Analysis with Natural Language Processing (NLP): Analyzing intertextual relationships in large datasets to determine which modern Turkish literary works are most related to classical texts.
• Automated Citation Detection with Machine Learning: A model to automatically identify references between literary works.
• Literary Interaction Network: A visualization to show the intertextual relationships between authors and their works.

2. Parliamentary Speeches Analysis

• Sentiment Analysis: Examining which topics were addressed with more aggressive or softer tones in different periods.
• Speech Similarity Analysis: Analyzing how politicians' speeches have evolved over time and their similarities.
• Predictive Model from Speech Texts: Analyzing how political discourse changes during election periods.

3. Correspondence Between Turkish Literary Figures (This has been done, but it can be approached from a different perspective.)

• Sentiment and Style Analysis: Analyzing which words authors use most frequently in their letters and how their language has changed over time.
• Literary Interaction Map from Letters: A network graph can be created to visualize correspondence between authors.

4. Agricultural Data (Livestock + Crops)

• Yield Prediction: Analyzing how crop yields change under specific weather conditions or in certain regions.
• Time Series Analysis: Examining changes in agricultural production over the years and creating predictive models.

5. YouTube Comments

• Sentiment and Interest Analysis: Identifying which topics of long-running programs attract the most interest and analyzing trends in viewer comments.
• Trend Detection: Analyzing which topics were most discussed in different time periods.

6. Population Data (Birth & Death Statistics)

7. Archaeological Data (Ontological Database for Archaeologists in Turkey)

• Artifact Classification and Recording: Creating a database that automatically classifies and digitally records archaeological artifacts.
• Location and Period Analysis: Analyzing the geographical and historical distribution of artifacts found in Turkey.
• Knowledge Graph (Ontology Database): Developing an ontology-based database that defines relationships between archaeological finds, making it easier for researchers to conduct analyses.