🏛️ Political Science and International Relations

Political Science and International Relations

BeautifulSoup

• Description: A library for pulling data out of HTML and XML files.

• Use Case: Scraping political news, government websites, and international organizations' reports for analysis and research in political science and international relations.

• Documentation: Beautiful Soup Documentation

• GitHub Repository: Beautiful Soup GitHub

Gensim

• Description: A robust semantic modeling library, useful for unsupervised topic modeling and natural language processing (NLP).

• Use Case: Analyzing large volumes of textual data such as speeches, manifestos, and diplomatic communications to uncover underlying themes and discourse patterns.

• Documentation: Gensim Documentation

• GitHub Repository: Gensim GitHub

Matplotlib

• Description: A plotting library for creating static, animated, and interactive visualizations in Python.

• Use Case: Visualizing data related to political events, election results, public opinion polls, and international economic indicators.

• Documentation: Matplotlib Documentation

• GitHub Repository: Matplotlib GitHub

NetworkX

• Description: A Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

• Use Case: Analyzing and visualizing networks of political actors, international organizations, and diplomatic relationships.

• Documentation: NetworkX Documentation

• GitHub Repository: NetworkX GitHub

NLTK (Natural Language Toolkit)

• Description: A leading platform for building Python programs to work with human language data.

• Use Case: Linguistic analysis of political texts, speeches, and documents for sentiment analysis, content categorization, and discourse analysis.

• Documentation: NLTK Documentation

• GitHub Repository: NLTK GitHub

NumPy

• Description: Fundamental package for scientific computing with Python.

• Use Case: Handling numerical data for statistical analysis in political science research, including voting behavior studies and international relations metrics.

• Documentation: NumPy Documentation

• GitHub Repository: NumPy GitHub

Pandas

• Description: Data analysis and manipulation library.

• Use Case: Managing and analyzing datasets in political science and international relations, such as electoral data, economic indicators, and conflict data.

• Documentation: Pandas Documentation

• GitHub Repository: Pandas GitHub

Plotly

• Description: An interactive graphing library.

• Use Case: Creating interactive and dynamic visualizations to represent complex political and international relations data, enhancing the accessibility of research findings.

• Documentation: Plotly Documentation

• GitHub Repository: Plotly GitHub

scikit-learn

• Description: Machine learning in Python.

• Use Case: Applying machine learning algorithms to political science data for predictive modeling, classification of political texts, and clustering of international actors based on policy preferences.

• Documentation: scikit-learn Documentation

• GitHub Repository: scikit-learn GitHub

spaCy

• Description: An open-source library for advanced natural language processing.

• Use Case: Processing and analyzing large volumes of text for entity recognition, relationship extraction, and thematic analysis in political science and international relations documents.

• Documentation: spaCy Documentation

• GitHub Repository: spaCy G