Beautiful visualizations of how language differs among document types.

Maia is a human-like neural network chess engine trained on millions of human games.

BookNLP, a natural language processing pipeline for books

Language, Knowledge, Cognition

TweetNLP for all the NLP enthusiasts working on Twitter! The Python library tweetnlp provides a collection of useful tools to analyze/understand tweets such as sentiment analysis, emoji prediction, and named entity recognition, powered by state-of-the-art language models specialised on Twitter.

Text analysis with networks.

Interpretable data visualizations for understanding how texts differ at the word level

Symbolic Generators for Complex Networks

Modeling individual style in chess with Maia Chess.

A classifier that distinguishes political from non-political news articles.

A tool for Semantic Scaling of Political Text (branch of Topfish, a suite of tools for Political Text Analysis)

A Selenium-driven tool for automated website interaction and scraping.

A package to easily train Bert-like models for text classification

[NLP] Unsupervised User Stance Detection on Twitter.

Dataset and code for directed sentiment analysis in news text.

Using word embeddings, TFIDF and text-hashing to cluster and visualise text documents

Materials for workshop on "Using bibliometric data in demographic research". A report here: https://iussp.org/en/using-bibliometric-data-demographic-research-0

MemeCLIP framework and PrideMM Dataset @ EMNLP 2024

The tutorial on scraping, processing, and classification of text-based digital trace data in Natural Language Processing and Computational Social Science.

Scripts Básicos para Sociologia Digital