DocumentCode
2980863
Title
Domain identification and keyword extraction of radio news using term weighting
Author
Suzuki, Yoshimi ; Fukumoto, Fumiyo ; Sekiguchi, Yoshihiro
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Yamanashi Univ., Kofu, Japan
fYear
1997
fDate
14-17 Dec 1997
Firstpage
543
Lastpage
550
Abstract
We propose a method for domain identification and keyword extraction using term weighting for radio news. In our method, feature vectors whose elements are χ2 values between each keyword and each domain are calculated from newspaper articles automatically. Using the feature vectors, a domain of each part of radio news is selected. Then keywords are extracted by using the selected domain. The results of experiments show that our methods are robust and effective for the speech recognition system
Keywords
feature extraction; radio applications; speech recognition; word processing; χ2 values; domain identification; feature vectors; keyword extraction; newspaper articles; radio news; speech recognition system; term weighting; Broadcasting; Data mining; Dictionaries; Frequency; Minutes; Robustness; Speech recognition; Switches; Vocabulary; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Automatic Speech Recognition and Understanding, 1997. Proceedings., 1997 IEEE Workshop on
Conference_Location
Santa Barbara, CA
Print_ISBN
0-7803-3698-4
Type
conf
DOI
10.1109/ASRU.1997.659134
Filename
659134
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