Social Analytics in an Enterprise Context: From Manufacturing to Software Development

Evangelos Arvanitakis, Michael Petychakis, Evmorfia Biliri, Ariadni Michalitsi-Psarrou, Panagiotis Kokkinakos, Fenareti Lampathaki, D. Askounis
{"title":"Social Analytics in an Enterprise Context: From Manufacturing to Software Development","authors":"Evangelos Arvanitakis, Michael Petychakis, Evmorfia Biliri, Ariadni Michalitsi-Psarrou, Panagiotis Kokkinakos, Fenareti Lampathaki, D. Askounis","doi":"10.1109/ARES.2016.99","DOIUrl":null,"url":null,"abstract":"Although customers become more and more vocal in expressing their experiences, demands and needs in various social networks, companies of any size typically fail to effectively gain insights from such social data and to eventually catch the market realm. This paper introduces the Anlzer analytics engine that aims at leveraging the \"social\" data deluge to help companies in their quest for deeper understanding of their products' perceptions as well as of the emerging trends in order to early embed them into their product design phase. The proposed approach brings together polarity detection and trend analysis techniques as presented in the architecture and demonstrated through a simple walkthrough in the Anlzer solution. The Anlzer implementation is by design domain-independent and is being tested in the furniture domain at the moment, yet it brings significant added value to software design and development, as well, through its experimentation playground that may provide indirect feedback on future software features while monitoring the reactions to existing releases.","PeriodicalId":216417,"journal":{"name":"2016 11th International Conference on Availability, Reliability and Security (ARES)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 11th International Conference on Availability, Reliability and Security (ARES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARES.2016.99","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Although customers become more and more vocal in expressing their experiences, demands and needs in various social networks, companies of any size typically fail to effectively gain insights from such social data and to eventually catch the market realm. This paper introduces the Anlzer analytics engine that aims at leveraging the "social" data deluge to help companies in their quest for deeper understanding of their products' perceptions as well as of the emerging trends in order to early embed them into their product design phase. The proposed approach brings together polarity detection and trend analysis techniques as presented in the architecture and demonstrated through a simple walkthrough in the Anlzer solution. The Anlzer implementation is by design domain-independent and is being tested in the furniture domain at the moment, yet it brings significant added value to software design and development, as well, through its experimentation playground that may provide indirect feedback on future software features while monitoring the reactions to existing releases.
企业环境中的社会分析:从制造业到软件开发
尽管客户在各种社交网络中越来越多地表达他们的体验、需求和需求,但任何规模的公司通常都无法有效地从这些社交数据中获得洞察力,并最终占领市场领域。本文介绍了Anlzer分析引擎,该引擎旨在利用“社交”数据洪流,帮助企业更深入地了解其产品的感知以及新兴趋势,以便尽早将其嵌入到产品设计阶段。所提出的方法将极性检测和趋势分析技术结合在一起,这些技术在体系结构中提出,并通过Anlzer解决方案中的简单演示进行了演示。Anlzer的实现是独立于设计领域的,目前正在家具领域进行测试,但它也为软件设计和开发带来了重要的附加价值,通过它的实验场所,可以在监视对现有版本的反应的同时,为未来的软件功能提供间接反馈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:604180095
Book学术官方微信