Guest Editorial Special Section on Fuzzy-Deep Neural Network Learning in Sentiment Analysis

IF 10.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Fuzzy Systems Pub Date : 2025-01-08 DOI:10.1109/TFUZZ.2024.3520662
Gautam Srivastava;Chun-Wei Lin
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Abstract

Sentiment analysis, also known as opinion mining, is an emerging field that involves the automatic identification and categorization of opinions expressed in textual data. This process is referred to as sentiment mining. Sentiment analysis is becoming an increasingly important task in a variety of domains, including business, politics, and social media, due to the growing amount of text data accessible on the Internet. In recent years, this area of research has seen increased traction as well as added methodologies in interdisciplinary domains intersecting with sentiment analysis.
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情感分析中的模糊-深度神经网络学习客座编辑专区
情感分析,也被称为观点挖掘,是一个新兴的领域,涉及对文本数据中表达的观点进行自动识别和分类。这个过程被称为情感挖掘。由于互联网上可访问的文本数据数量不断增加,情感分析在商业、政治和社交媒体等各个领域正成为越来越重要的任务。近年来,这一领域的研究越来越受到关注,并且在与情感分析交叉的跨学科领域中增加了方法。
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来源期刊
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems 工程技术-工程:电子与电气
CiteScore
20.50
自引率
13.40%
发文量
517
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Fuzzy Systems is a scholarly journal that focuses on the theory, design, and application of fuzzy systems. It aims to publish high-quality technical papers that contribute significant technical knowledge and exploratory developments in the field of fuzzy systems. The journal particularly emphasizes engineering systems and scientific applications. In addition to research articles, the Transactions also includes a letters section featuring current information, comments, and rebuttals related to published papers.
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