Text mining of personal communication

Author

Jonsson, Håkan ; Nugues, Pierre ; Bach, Christofer ; Gunnarsson, Johan

Author_Institution

Corp. Technol. Office, Sony Ericsson, Lund, Sweden

fYear

2010

fDate

11-14 Oct. 2010

Firstpage

1

Lastpage

5

Abstract

This paper reports on the work on a new service using text mining on SMS data: SMSTrends. The service extracts trends in the form of keywords from SMS messages sent and received by ad hoc location-based communities of users. Trends are then presented to the user using a phone widget, which is regularly updated to show the latest trends. This allows the user to see what the user community is texting about, and makes her aware of what is going on in this community. Privacy considerations of the service are governed by user expectations and regulations. Brenner and Wang discussed mining of personal communication in operator bit pipes. We expand on this by looking deeper into privacy and regulatory aspects through the specific example of SMSTrends. Especially, the use of adaptive location granularity selection is introduced.

Keywords

data mining; data privacy; electronic messaging; text analysis; ubiquitous computing; SMS data; SMS messages; SMSTrends; ad hoc location-based communities; adaptive location granularity selection; context awareness; personal communication; phone widget; privacy considerations; text mining; Business; Communities; Data privacy; Documentation; Filtering theory; Privacy; collective awareness; context awareness; location; messaging; privacy; text mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligence in Next Generation Networks (ICIN), 2010 14th International Conference on

Conference_Location

Berlin

Print_ISBN

978-1-4244-7443-1

Electronic_ISBN

978-1-4244-7444-8

Type

conf

DOI

10.1109/ICIN.2010.5640938

Filename

5640938