推特中的消费者情绪与优惠券信息共享行为的初步探讨

Chen-Ya Wang, Yi-Chun Lin, Hsia-Ching Chang, S. Chou
{"title":"推特中的消费者情绪与优惠券信息共享行为的初步探讨","authors":"Chen-Ya Wang, Yi-Chun Lin, Hsia-Ching Chang, S. Chou","doi":"10.4018/IJOM.2017070101","DOIUrl":null,"url":null,"abstract":"The authors aim to explore the correlation between coupon information-sharing behavior and consumer sentiment by analyzing tweets. They used Twitter application programming interface to retrieve users’ tweets, and took a machine learning approach for sentiment analysis. After the data pre-processing procedure, the authors then examined the correlation between sentiments in tweets and coupon information sharing. More than half of the most active users showed that their coupon information-sharing behavior correlated to both positive and negative sentiments. The results also showed that the response, coupon information sharing, for positive/negative sentiment had no significant time shifting pattern for most of the users. This study preliminary verifies the assumption that there is a correlation between users’ sentiments in tweets and coupon information-sharing behavior, and indicates some interesting findings. The authors’ findings may shed light on whether sentiment plays a role in social media communication concerning the sharing of coupon information. Consumer Sentiment in Tweets and Coupon InformationSharing Behavior: An Initial Exploration","PeriodicalId":308658,"journal":{"name":"Int. J. Online Mark.","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Consumer Sentiment in Tweets and Coupon Information-Sharing Behavior: An Initial Exploration\",\"authors\":\"Chen-Ya Wang, Yi-Chun Lin, Hsia-Ching Chang, S. Chou\",\"doi\":\"10.4018/IJOM.2017070101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors aim to explore the correlation between coupon information-sharing behavior and consumer sentiment by analyzing tweets. They used Twitter application programming interface to retrieve users’ tweets, and took a machine learning approach for sentiment analysis. After the data pre-processing procedure, the authors then examined the correlation between sentiments in tweets and coupon information sharing. More than half of the most active users showed that their coupon information-sharing behavior correlated to both positive and negative sentiments. The results also showed that the response, coupon information sharing, for positive/negative sentiment had no significant time shifting pattern for most of the users. This study preliminary verifies the assumption that there is a correlation between users’ sentiments in tweets and coupon information-sharing behavior, and indicates some interesting findings. The authors’ findings may shed light on whether sentiment plays a role in social media communication concerning the sharing of coupon information. Consumer Sentiment in Tweets and Coupon InformationSharing Behavior: An Initial Exploration\",\"PeriodicalId\":308658,\"journal\":{\"name\":\"Int. J. Online Mark.\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Online Mark.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/IJOM.2017070101\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Online Mark.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJOM.2017070101","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

作者旨在通过分析推文来探索优惠券信息共享行为与消费者情绪之间的相关性。他们使用Twitter应用程序编程接口检索用户的推文,并采用机器学习方法进行情感分析。在数据预处理程序之后,作者随后检查了推文情绪与优惠券信息共享之间的相关性。超过一半的最活跃用户表示,他们分享优惠券信息的行为与积极和消极情绪都有关系。结果还表明,大多数用户对积极/消极情绪的响应,优惠券信息共享,没有显著的时间转移模式。本研究初步验证了推特用户情绪与优惠券信息分享行为之间存在相关性的假设,并得出了一些有趣的发现。作者的研究结果可能会揭示情绪是否在社交媒体交流中发挥作用,涉及优惠券信息的分享。推特中的消费者情绪与优惠券信息分享行为初探
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Consumer Sentiment in Tweets and Coupon Information-Sharing Behavior: An Initial Exploration
The authors aim to explore the correlation between coupon information-sharing behavior and consumer sentiment by analyzing tweets. They used Twitter application programming interface to retrieve users’ tweets, and took a machine learning approach for sentiment analysis. After the data pre-processing procedure, the authors then examined the correlation between sentiments in tweets and coupon information sharing. More than half of the most active users showed that their coupon information-sharing behavior correlated to both positive and negative sentiments. The results also showed that the response, coupon information sharing, for positive/negative sentiment had no significant time shifting pattern for most of the users. This study preliminary verifies the assumption that there is a correlation between users’ sentiments in tweets and coupon information-sharing behavior, and indicates some interesting findings. The authors’ findings may shed light on whether sentiment plays a role in social media communication concerning the sharing of coupon information. Consumer Sentiment in Tweets and Coupon InformationSharing Behavior: An Initial Exploration
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