Semantic Analysis of TBMM Transcripts

This project aims to perform semantic analysis on Turkish Grand National Assembly (TBMM) transcripts.

Setup

1. Install Dependencies

   pip install -r requirements.txt

2. Setup Elasticsearch

   • Follow the instructions in docs/build_elasticsearch.md
   • Run the Elasticsearch Docker container
   • Create the index using scripts/create_elastic.py

3. Run Analysis

   Step 1: Load Data into Elasticsearch

   # Make sure Elasticsearch is running (Docker container)
   python src/aciklamalar_d25-d28.py

   Step 2: Perform Topic Analysis

   python src/analyze_speech_topics.py

   Step 3: Generate Parliament Galaxy Visualization

   python src/parliament_galaxy.py

Features

• Data Scraping: Extract transcripts from TBMM website
• Elasticsearch Integration: Store and search parliamentary speeches
• Semantic Analysis: Analyze speech topics and patterns
• Data Visualization: Generate insights from parliamentary data

Requirements

• Python
• Elasticsearch 8.6.1
• Docker (for Elasticsearch)

Usage

See individual script files in src/ directory for specific functionality.