DocumentCode :
3238058
Title :
Content analysis based on text mining using genetic algorithm
Author :
Mukherjee, Indrajit ; Al-Fayoumi, Mohammad ; Mahanti, P.K. ; Jha, Ritesh ; Al-Bidewi, Ibrahim
Author_Institution :
Dept. of Comput. Sci., Birla Inst. of Technol. Mesra, Mesra, India
fYear :
2010
fDate :
2-4 Nov. 2010
Firstpage :
432
Lastpage :
436
Abstract :
This paper proposes a method employing text mining techniques to analyze e-mails collected at various source. The method inputs the subject and the body of an email and decides a text class for the e-mail. Also, the method extracts key concepts from e-mails and presents their statistical information. The results of numerical experiments indicate that acquired concept relation dictionaries correspond to the intuition of operators in the customer center and give highly precise ratios in the classification.
Keywords :
data mining; electronic mail; genetic algorithms; statistical analysis; text analysis; concept relation dictionaries; content analysis; e-mail analysis; genetic algorithm; statistical information; text mining; Electronic mail; Lead; Navigation; Portable computers; GA based Rule induction learning; Text mining; e-mail;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Technology and Development (ICCTD), 2010 2nd International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-8844-5
Electronic_ISBN :
978-1-4244-8845-2
Type :
conf
DOI :
10.1109/ICCTD.2010.5645835
Filename :
5645835
Link To Document :
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