Features level sentiment mining in enterprise systems from informal text corpus using machine learning techniques

IF 4.4 4区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Enterprise Information Systems Pub Date : 2024-03-24 DOI:10.1080/17517575.2024.2328186
Ritanjali Panigrahi, Nishikant Bele, Prabin Kumar Panigrahi, Brij B. Gupta
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引用次数: 0

Abstract

This study explores feature-level sentiment analysis of Hindi blog reviews in enterprise systems, a significant area in the Indian context yet understudied. By applying machine learning techniques ...
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利用机器学习技术从非正式文本语料库中挖掘企业系统的情感特征
本研究探讨了企业系统中印地语博客评论的特征级情感分析,这在印度是一个重要领域,但研究不足。通过应用机器学习技术 ...
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来源期刊
Enterprise Information Systems
Enterprise Information Systems 工程技术-计算机:信息系统
CiteScore
11.00
自引率
6.80%
发文量
24
审稿时长
6 months
期刊介绍: Enterprise Information Systems (EIS) focusses on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.
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