smaprac - Social Media Analysis Practice Files

A practical collection of social media analysis practice files that includes both Python scripts (.py) and Jupyter notebooks (.ipynb) for network analysis, sentiment analysis, and discourse analysis.

Installation

Install the package using pip:

# Install from the local directory
pip install -e .

Usage

As a Python Package

Import modules in your .py files or notebooks:

from smaprac import get_notebooks_path, list_notebooks

# Get path to packaged notebooks
notebooks_dir = get_notebooks_path()

# List all available notebooks
available = list_notebooks()
print(available)

Command Line Interface

Download all practice files to a directory:

# List available files
smaprac download --list

# Download files to a folder (creates smaprac_files subdirectory)
smaprac download --dest /path/to/directory

Structure

• 02_data_collection/ - Data collection experiments
• 03_clean_store_preprocess/ - Data preprocessing
• 04_sentiment_eda_n_visual/ - Sentiment analysis and visualization
• 05_network/ - Network analysis
• 07_discourse_network_communalytic/ - Discourse and community analysis
• exp8/ - Additional experiments

Requirements

• Python >= 3.7
• click >= 8.0.0

License

MIT License - See LICENSE file for details