Abstract: World’s mobile market pushes past 2 billion lines in 2005. Success in these competitive markets requires operational excellence with product and service innovation to improve the mobile performance. Mobile users very often prefer to send a mobile instant message or text messages rather than talking on a mobile. Well developed “written speech analysis” does not work not only with “verbal speech” but also with “mobile text messages”. The main purpose of our paper is, firstly, to highlight the problems of mobile text messages processing and, secondly, to show the possible ways of solving these problems.

Keywords: mobile text messages, text message analysis, natural language processing

ACM Classification Keywords: I.2 Artificial intelligence: I.2.7 Natural Language Processing – Text Analysis

Link:

DISTINCTIVE FEATURES OF MOBILE MESSAGES PROCESSING

Ken Braithwaite, Mark Lishman, Vladimir Lovitskii, David Traynor

http://www.foibg.com/ijita/vol14/ijita14-2-p08.pdf