Title
Pulse: mining customer opinions from free text
Abstract
We present a prototype system, code-named Pulse, for mining topics and sentiment orientation jointly from free text customer feedback. We describe the application of the prototype system to a database of car reviews. Pulse enables the exploration of large quantities of customer free text. The user can examine customer opinion “at a glance” or explore the data at a finer level of detail. We describe a simple but effective technique for clustering sentences, the application of a bootstrapping approach to sentiment classification, and a novel user-interface.
Year
DOI
Venue
2005
10.1007/11552253_12
Lecture Notes in Computer Science
Keywords
Field
DocType
bootstrapping approach,sentiment orientation,code-named pulse,prototype system,free text customer feedback,clustering sentence,customer free text,mining customer opinion,customer opinion,car review,sentiment classification,level of detail,data analysis,automobile,cluster analysis,user interface,artificial intelligence,database,data mining,classification,bootstrapping
Customer intelligence,Data mining,Text mining,Voice of the customer,Sentiment analysis,Level of detail,Computer science,Bootstrapping,Artificial intelligence,Cluster analysis,User interface,Machine learning
Conference
Volume
ISSN
ISBN
3646
0302-9743
3-540-28795-7
Citations 
PageRank 
References 
187
10.78
10
Authors
4
Search Limit
100187
Name
Order
Citations
PageRank
Michael Gamon1148489.50
Anthony Aue229016.87
Simon Corston-Oliver334925.25
Eric Ringger432821.57