Social Media as a Main Source of Customer Feedback - Alternative to Customer Satisfaction Surveys

被引:12
作者
Hasson, Sharon Grubner [1 ]
Piorkowski, John [2 ]
McCulloh, Ian [3 ]
机构
[1] Johns Hopkins Univ, Comp Sci, Laurel, MD 21218 USA
[2] Johns Hopkins Univ, Data Sci, Laurel, MD USA
[3] Accenture, Washington, DC USA
来源
PROCEEDINGS OF THE 2019 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM 2019) | 2019年
关键词
Twitter; social media; survey; customers; feedback; machine learning; classifier;
D O I
10.1145/3341161.3345642
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Customer satisfaction surveys, which have been the most common way of gauging customer feedback, involve high costs, require customer active participation, and typically involve low response rates. The tremendous growth of social media platforms such as Twitter provides businesses an opportunity to continuously gather and analyze customer feedback, with the goal of identifying and rectifying issues. This paper examines the alternative of replacing traditional customer satisfaction surveys with social media data. To evaluate this approach the following steps were taken, using customer feedback data extracted from Twitter: 1) Applying sentiment to each Tweet to compare the overall sentiment across different products and/or services. 2) Constructing a hashtag co-occurrence network to further optimize the customer feedback query process from Twitter. 3) Comparing customer feedback from survey responses with social media feedback, while considering content and added value. We find that social media provides advantages over traditional surveys.
引用
收藏
页码:829 / 832
页数:4
相关论文
共 9 条
[1]  
[Anonymous], 2014, SECONDARY TEXTBLOB S
[2]  
[Anonymous], 2009, TWEEPY EASY TO USE P
[3]  
[Anonymous], 2009, Sentiment140
[4]  
[Anonymous], 2008, Exploring network structure, dynamics, and function using networkx
[5]  
Bajic D., 2011, WEB2SE 11 P 2 INT WO, P1, DOI [10.1145/1984701.1984702, DOI 10.1145/1984701.1984702]
[6]  
Bhatia S, 2013, 2013 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM), P1147
[7]   Matplotlib: A 2D graphics environment [J].
Hunter, John D. .
COMPUTING IN SCIENCE & ENGINEERING, 2007, 9 (03) :90-95
[8]  
Loper E., 2002, NLTK NAUTRAL LANGUAG
[9]  
Shaban H., 2019, The Washington Post