ryanjgallagher/shifterator

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Interpret text data with LLMs (sklearn compatible).

An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)

Robust and fast topic models with sentence-transformers.

Automatic Generation of Visualizations and Infographics using Large Language Models

Show the differences between two strings/text as a compact text, in markdown/HTML, in the terminal and more.

End to end human text analysis package, specifically suited for social media and social scientific applications. It is written in Python 3 and developed by the World Well-Being Project at the University of Pennsylvania and Stony Brook University.

LLM Analytics

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.