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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
IEEE

Enhanced Sentiment Analysis and Topic Modeling During the Pandemic Using Automated Latent Dirichlet Allocation

Abstract: The COVID-19 pandemic has profoundly impacted human societies, resulting in the loss of millions of lives and slowing economic growth worldwide. This devastating pandemic underscores the ...
GitHub

LangFair: Use-Case Level LLM Bias and Fairness Assessments

LangFair is a comprehensive Python library designed for conducting bias and fairness assessments of large language model (LLM) use cases. This repository includes various supporting resources, ...
IEEE

Citation Prediction Using LDA Topic Models

Abstract: This research investigates the use of deep learning models for predicting citation counts of academic research articles, leveraging Latent Dirichlet Allocation (LDA) scores as key features.