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Advanced Data Analysis – Large Language Models

About

This project was developed as part of the Advanced Data Analysis course.
The focus of the project is the extraction of information from hotel reviews using Large Language Models (LLMs) and further analysis of the obtained data.
Based on the extracted information, a network analysis of the reviews was conducted.


Project Goal

The goal of the project is to apply large language models for automatic processing of textual hotel reviews, extracting relevant information, and using that data for advanced analysis and visualization of relationships between reviews and attributes.


Technologies Used

  • Python
  • Google Colab / Jupyter Notebook
  • Pandas
  • NumPy
  • Matplotlib / Seaborn
  • NetworkX
  • Large Language Models (LLM)
  • Git & GitHub

Functionalities

  • Data processing and dataset preparation
  • Information extraction from reviews using LLM models
  • Structuring data for further analysis
  • Result visualization
  • Network analysis of reviews and attributes

Summary

This project demonstrates the application of modern AI techniques, specifically Large Language Models, for extracting structured insights from unstructured text data and performing advanced analytical tasks such as network analysis and visualization.

About

A project developed as part of the Advanced Data Analysis course. The topic of the project is extracting information from hotel reviews using LLMs and further utilizing that data for advanced analysis. A network analysis of reviews was performed based on the obtained data.

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