基于群体智能的自然启发元启发式方法在意见挖掘中的特征选择

Nupur Bali, Sunanda Gupta
{"title":"基于群体智能的自然启发元启发式方法在意见挖掘中的特征选择","authors":"Nupur Bali, Sunanda Gupta","doi":"10.2139/ssrn.3566789","DOIUrl":null,"url":null,"abstract":"As the technology has developed with an immense speed it has also given the people the freedom to express their thoughts and views openly in front of the world giving each user an equal right to share and express their feelings as a result of which a lot of data is generated every second in the form of reviews, ratings, and comments which can be positive or negative. So it becomes very necessary to analyze these unstructured and homogenous posts properly. The objective of the paper is to review mainly various existing Swarm intelligence based nature inspired metaheuristic algorithms which are used for selecting features in sentiment analysis.","PeriodicalId":404477,"journal":{"name":"Mechanical Engineering eJournal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Swarm Intelligence Based Nature Inspired Metaheuristics Used for Selecting Features in Opinion Mining\",\"authors\":\"Nupur Bali, Sunanda Gupta\",\"doi\":\"10.2139/ssrn.3566789\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the technology has developed with an immense speed it has also given the people the freedom to express their thoughts and views openly in front of the world giving each user an equal right to share and express their feelings as a result of which a lot of data is generated every second in the form of reviews, ratings, and comments which can be positive or negative. So it becomes very necessary to analyze these unstructured and homogenous posts properly. The objective of the paper is to review mainly various existing Swarm intelligence based nature inspired metaheuristic algorithms which are used for selecting features in sentiment analysis.\",\"PeriodicalId\":404477,\"journal\":{\"name\":\"Mechanical Engineering eJournal\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mechanical Engineering eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3566789\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanical Engineering eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3566789","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

随着技术的飞速发展,它也给了人们在世界面前公开表达自己的想法和观点的自由,给了每个用户平等的权利来分享和表达他们的感受,因此每秒都会产生大量的数据,以评论,评分和评论的形式,可以是积极的或消极的。因此,对这些非结构化、同质化的岗位进行适当的分析就显得十分必要。本文的目的是主要回顾现有的各种基于群体智能的自然启发式算法,用于情感分析中特征的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Swarm Intelligence Based Nature Inspired Metaheuristics Used for Selecting Features in Opinion Mining
As the technology has developed with an immense speed it has also given the people the freedom to express their thoughts and views openly in front of the world giving each user an equal right to share and express their feelings as a result of which a lot of data is generated every second in the form of reviews, ratings, and comments which can be positive or negative. So it becomes very necessary to analyze these unstructured and homogenous posts properly. The objective of the paper is to review mainly various existing Swarm intelligence based nature inspired metaheuristic algorithms which are used for selecting features in sentiment analysis.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信