BookNLP, a natural language processing pipeline for books
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Updated
Jul 31, 2024 - Python
BookNLP, a natural language processing pipeline for books
Introduction to Cultural Analytics & Python, course website and online textbook powered by Jupyter Book
Distant Viewing Toolkit for the Analysis of Visual Culture
Dédalo: Cultural Heritage & Oral History Management System
SBBBrowse public, revision 2018
Experiments and tutorials from the wide field of cultural analytics based on textual and multimodal corpora. Sample use cases range from image retrieval over sentiment analysis to network analysis. Based on Python, JavaScript, and D3.js.
Aggregate data and sample code for the paper: Novelty and Cultural Evolution in Modern Popular Music
Course website for Computing in the Humanities 2024 at the iSchool UIUC
For a human-centered data science assignment, I analyzed how Google's Perspective API tool detects and categorizes Black language data, also known as AAVE (African-American Vernacular English), from Twitter.
Modules with classes and functions for Computational literary text analysis, particularly a novella history
CSC 10800 R: Foundations of Data Science @ City College of NY, Fall 2024
Training classifier models to predict genres and subgenres on album cover data.
Final Year Project - "Sentiment analysis of UK number ones (1952-2020) to detect correlation between lyrics and society"
🇮🇷 5-Year Historical Sentiment Analysis of Persian Telegram (~1M posts) using Google Gemma 3 (27B) via Ollama. A deep NLP study on public mood, sarcasm, and cultural nuances (1399–1404 SH).
A Django App to analyse the text design on instagram images from German news portals.
AI-powered generator of personalized apocalyptic mini-scenarios based on your cultural tastes. Qloo + Google Gemini synergy.
Adobe Express Add-on that analyzes cultural sensitivity of design elements using AI.
Looking for the Best Historical Window for Assessing Semantic Similarity Using Human Literature
Training classifier models on acoustic metadata to predict genres and subgenres.
Multi-modal system analyzing social media, news, art, and music to predict emerging cultural movements and artistic trends years before they mainstream.
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