Weight functions impact on LSA performance (2001)
| Venue: | EuroConference RANLP'2001 (Recent Advances in NLP |
| Citations: | 13 - 3 self |
BibTeX
@INPROCEEDINGS{Nakov01weightfunctions,
author = {Preslav Nakov and Antonia Popova and Plamen Mateev},
title = {Weight functions impact on LSA performance},
booktitle = {EuroConference RANLP'2001 (Recent Advances in NLP},
year = {2001},
pages = {187--193}
}
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Abstract
This paper presents experimental results of usage of LSA for analysis of English literature texts. Several preliminary transformations of the frequency text-document matrix with different weight functions are tested on the basis of control subsets. Additional clustering based on correlation matrix is applied in order to reveal the latent structure. The algorithm creates a shaded form matrix via singular values and vectors. The results are interpreted as a quality of the transformations and compared to the control set tests. 1.
