๐๏ธ 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
Last updated