IEEE

An Active Learning-Based Alternative Reinforcement Contextual Information Fusion Model for Multimodal Sentiment Analysis

Abstract: Multimodal Sentiment Analysis (MSA) combines data from multiple modalities to accurately interpret human emotional states. Despite recent advancements, deep learning-based MSA models ...
csis.org

AI-Driven Code Analysis: What Claude Code Security Can—and Can’t—Do

Q1: How does Claude Code Security function—and how does it differ from traditional static application security testing (SAST)? A1: Conventional rule-based static analysis uses pattern matching, ...
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 ...
IEEE

Multimodal Sentiment Analysis Based on Heterogeneous Contrastive Representation Learning with Prior Knowledge Enhancement

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 ...
GitHub

Alaska Vaccine Sentiment Analysis

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 ...