The Positive Effect of PMI on the Selection of Meaningful Words
Küçük Resim Yok
Tarih
2019
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The aim of this study is to enhance the quality of automatic created dictionary. As far as we know, PMI (Pointwise Mutual Information) is the first time applied in order to determine representative words in the literature. A previously developed system is revised to experiment PMI effect on the selection of representative words additionally. Firstly, the meaningful words of the seed document/s arc determined by Helmholtz Principle. Then, PMI value is calculated for each of the meaningful words. Meaningful words are sorted by using the total PMI value in decreasing order. Finally, the top n meaningful words are added to the dictionary, where n is experimentally worked. Hash similarity is used to measure the performance of the dictionary. PMI enhances the dictionary quality for all n value. The dictionary hash similarity increases from 40.46% up to 68.75% for the best n value in the experiments.
Açıklama
11th International Conference on Electrical and Electronics Engineering (ELECO) -- NOV 28-30, 2019 -- Bursa, TURKEY
WOS:000552654100184
WOS:000552654100184
Anahtar Kelimeler
Kaynak
2019 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING (ELECO 2019)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
