Performance Evaluation of Reddit Comments Using Machine Learning and Natural Language Processing Methods in Sentiment Analysis

doi:10.1007/978-3-031-77489-8_2

	Performance Evaluation of Reddit Comments Using Machine Learning and Natural Language Processing Methods in Sentiment Analysis
	Zhang, Xiaoxia; Qi, Xiuyuan; Teng, Zixin
	2025
会议录名称	COMPUTATIONAL AND EXPERIMENTAL SIMULATIONS IN ENGINEERING, ICCES 2024-VOL 2
ISSN	2211-0984
卷号	173
发表状态	已发表
DOI	10.1007/978-3-031-77489-8_2
摘要	Sentiment analysis, an increasingly vital field in both academia and industry, plays a pivotal role in machine learning applications, particularly on social media platforms like Reddit. However, the efficacy of sentiment analysis models is hindered by the lack of expansive and fine-grained emotion datasets. To address this gap, our study leverages the GoEmotions dataset, comprising a diverse range of emotions, to evaluate sentiment analysismethods across a substantial corpus of 58,000 comments. Distinguished from prior studies by the Google team, which limited their analysis to only two models, our research expands the scope by evaluating a diverse array of models. We investigate the performance of traditional classifiers such as Naive Bayes and Support Vector Machines (SVM), as well as state-of-the-art transformer-based models including BERT, RoBERTa, and GPT. Furthermore, our evaluation criteria extend beyond accuracy to encompass nuanced assessments, including hierarchical classification based on varying levels of granularity in emotion categorization. Additionally, considerations such as computational efficiency are incorporated to provide a comprehensive evaluation framework. Our findings reveal that the RoBERTa model consistently outperforms the baseline models, demonstrating superior accuracy in fine-grained sentiment classification tasks. This underscores the substantial potential and significance of the RoBERTa model in advancing sentiment analysis capabilities.
关键词	Sentiment Analysis Machine Learning Natural Language Processing Reddit RoBERTa
会议名称	30th International Conference on Computational and Experimental Engineering and Sciences
出版地	GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND
会议地点	null,null,SINGAPORE
会议日期	AUG 03-06, 2024
URL	查看原文
收录类别	CPCI-S
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Multidisciplinary
WOS记录号	WOS:001445503700002
出版者	SPRINGER INTERNATIONAL PUBLISHING AG
EISSN	2211-0992
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/387323
专题	信息科学与技术学院_本科生
通讯作者	Zhang, Xiaoxia
作者单位	Shanghaitech Univ, Shanghai, Peoples R China
第一作者单位	上海科技大学
通讯作者单位	上海科技大学
第一作者的第一单位	上海科技大学
推荐引用方式 GB/T 7714	Zhang, Xiaoxia,Qi, Xiuyuan,Teng, Zixin. Performance Evaluation of Reddit Comments Using Machine Learning and Natural Language Processing Methods in Sentiment Analysis[C]. GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND:SPRINGER INTERNATIONAL PUBLISHING AG,2025.