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

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

Abstract: This research addresses the significant challenges of sentiment analysis in low-resource African languages by utilizing advanced transformer-based models to bridge gaps in natural language ...

Project Goal: To design, build, and deploy an end-to-end big data pipeline that ingests live Twitter data, performs real-time sentiment analysis and trend detection, and visualizes the results on a ...