在线学习课程平台课程评论文本情感分析数据集

这是一份包含4715条在线学业情绪的数据集。在这个数据集中，包含了：1. 序号；2. 分句：即通过主题标注划分分句后的所有分句；3.主题分类：对所有分句进行主题划分； 4.主题细化分类：对所有分句所在主题下进行进一步分类； 5.标注学业情绪（1）：第一位标注者对该分句的学业情绪标注结果；6.标注学业情绪（2）：第二位标注者对该分句的学业情绪标注结果；7. 标注学业情绪（3） ：第三位标注者对该分句的学业情绪标注结果；8. 最终学业情绪：在三位标注者的结果中，按多数标注结果作为最终标注结果。

This is a dataset containing 4715 online academic emotion samples. The dataset comprises the following eight components:
1. Serial Number: Unique sequence number assigned to each sample
2. Clause: All clauses obtained by segmenting the original text in accordance with topic annotation rules
3. Topic Category: The topic division result for each individual clause
4. Refined Topic Subcategory: Further sub-classification results under the main topic of each clause
5. Academic Emotion Annotation (1): Academic emotion annotation outcome provided by the first annotator for the corresponding clause
6. Academic Emotion Annotation (2): Academic emotion annotation outcome provided by the second annotator for the corresponding clause
7. Academic Emotion Annotation (3): Academic emotion annotation outcome provided by the third annotator for the corresponding clause
8. Final Academic Emotion: The final annotation result determined by taking the majority vote from the three annotators' results

搜集汇总

背景与挑战

背景概述

该数据集包含4715条在线学业情绪数据，提供了分句、主题分类及三位标注者的情绪标注结果，适用于学业情感分析研究。数据集由上海科学技术委员会资助，发布于2022年9月。