Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models ...

This repository contains the code and analysis pipeline for studying vaccine-related sentiment in Alaska, with a focus on comparing urban and rural perspectives through social media analysis and ...

Abstract: Aspect-Based Sentiment Analysis (ABSA) faces significant challenges in accurately identifying sentiment polarity for specific aspects within complex sentences, particularly when dealing with ...

Abstract: The prevailing techniques in textual sentiment analysis include convolutional neural networks (CNNs), bidirectional long short-term memory (BiLSTM) networks, and attention mechanisms.