Code underlying the publication: "The Emotion-Memory Link: Do Memorability Annotations Matter for Intelligent Systems?"

This repository contains all code, scripts, and notebooks used for the analyses in the paper “The Emotion-Memory Link: Do Memorability Annotations Matter for Intelligent Systems?” 1. It includes Jupyter notebooks for pre-processing raw memory and affect annotation data, scripts and results for metrics computation on real data, and a full pipeline for generating, simulating, and analyzing experimental data under various null hypotheses (3 experiments described in the paper). All code is organized for reproducibility and modularity, but no original data is included. Users must provide their own data files as described in the README. The repository enables end-to-end reproduction of the analyses and figures presented in the paper, from raw data processing to final results.

本代码仓库包含了论文《情感-记忆关联：记忆标注对智能系统是否具有重要意义？》¹中用于各项分析的全部代码、脚本与Jupyter笔记本（Jupyter Notebook）。其中包含用于预处理原始记忆与情感标注数据的Jupyter笔记本、用于在真实数据集上计算各类评估指标的脚本与对应结果，以及一套完整的流程管线，用于在多种原假设下生成、模拟并分析实验数据（对应论文中阐述的3项实验）。所有代码均遵循可复现性与模块化原则进行组织，但未附带任何原始数据集。用户需按照README文档中的说明自行准备所需的数据文件。本仓库可实现从原始数据处理到最终结果产出的全流程复现，完整还原论文中呈现的各项分析与图表。