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