InfoQ

Evaluating AI Agents in Practice: Benchmarks, Frameworks, and Lessons Learned

This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...
IEEE

Multimodal Sentiment Analysis Model Based on Multi-Task Stacking TCN and Transformer

Abstract: With the rapid development of the Internet, daily shared content has expanded to multiple formats such as text, images, and videos. As a result, multimodal sentiment analysis has become ...
Purdue University

MCAP Workshop - Sentiment Analysis with Python

Join us for an engaging hands‑on workshop led by Vasundhara Kaul, Postdoctoral Research Associate, on Measuring Emotion in Text: Sentiment Analysis with Python. Participants will explore the ...
GitHub

pyforeca: Forecastable Component Analysis (ForeCA) in Python

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 ...
GitHub

Adi-Deshmukh/Pydata-visualizer

A powerful and intuitive Python library for exploratory data analysis and data profiling. Pydata-visualizer automatically analyzes your dataset, generates interactive visualizations, and provides ...
IEEE

Multimodal Sentiment Analysis Based on Heterogeneous Contrastive Representation Learning ...

Abstract: Multimodal sentiment analysis leverages various information sources (such as text, audio, video, etc.) to obtain more comprehensive and accurate sentiment information. Recent research has ...