@article{ART001795918},
author={Kim, Hyun Hee},
title={Comparing the Use of Semantic Relations between Tags Versus Latent Semantic Analysis for Speech Summarization},
journal={Journal of the Korean Society for Library and Information Science},
issn={1225-598X},
year={2013},
volume={47},
number={3},
pages={343-361},
doi={10.4275/KSLIS.2013.47.3.343}
TY - JOUR
AU - Kim, Hyun Hee
TI - Comparing the Use of Semantic Relations between Tags Versus Latent Semantic Analysis for Speech Summarization
JO - Journal of the Korean Society for Library and Information Science
PY - 2013
VL - 47
IS - 3
PB - 한국문헌정보학회
SP - 343
EP - 361
SN - 1225-598X
AB - We proposed and evaluated a tag semantic analysis method in which original tags are expanded and the semantic relations between original or expanded tags are used to extract key sentences from lecture speech transcripts. To do that, we first investigated how useful Flickr tag clusters and WordNet synonyms are for expanding tags and for detecting the semantic relations between tags. Then, to evaluate our proposed method, we compared it with a latent semantic analysis (LSA) method. As a result, we found that Flick tag clusters are more effective than WordNet synonyms and that the F measure mean (0.27) of the tag semantic analysis method is higher than that of LSA method (0.22).
KW - Expanded Tags;Latent Semantic Analysis;TED Talks;Flickr Tag Clusters;WordNet
DO - 10.4275/KSLIS.2013.47.3.343
ER -
Kim, Hyun Hee. (2013). Comparing the Use of Semantic Relations between Tags Versus Latent Semantic Analysis for Speech Summarization. Journal of the Korean Society for Library and Information Science, 47(3), 343-361.
Kim, Hyun Hee. 2013, "Comparing the Use of Semantic Relations between Tags Versus Latent Semantic Analysis for Speech Summarization", Journal of the Korean Society for Library and Information Science, vol.47, no.3 pp.343-361. Available from: doi:10.4275/KSLIS.2013.47.3.343
Kim, Hyun Hee "Comparing the Use of Semantic Relations between Tags Versus Latent Semantic Analysis for Speech Summarization" Journal of the Korean Society for Library and Information Science 47.3 pp.343-361 (2013) : 343.
Kim, Hyun Hee. Comparing the Use of Semantic Relations between Tags Versus Latent Semantic Analysis for Speech Summarization. 2013; 47(3), 343-361. Available from: doi:10.4275/KSLIS.2013.47.3.343
Kim, Hyun Hee. "Comparing the Use of Semantic Relations between Tags Versus Latent Semantic Analysis for Speech Summarization" Journal of the Korean Society for Library and Information Science 47, no.3 (2013) : 343-361.doi: 10.4275/KSLIS.2013.47.3.343
Kim, Hyun Hee. Comparing the Use of Semantic Relations between Tags Versus Latent Semantic Analysis for Speech Summarization. Journal of the Korean Society for Library and Information Science, 47(3), 343-361. doi: 10.4275/KSLIS.2013.47.3.343
Kim, Hyun Hee. Comparing the Use of Semantic Relations between Tags Versus Latent Semantic Analysis for Speech Summarization. Journal of the Korean Society for Library and Information Science. 2013; 47(3) 343-361. doi: 10.4275/KSLIS.2013.47.3.343
Kim, Hyun Hee. Comparing the Use of Semantic Relations between Tags Versus Latent Semantic Analysis for Speech Summarization. 2013; 47(3), 343-361. Available from: doi:10.4275/KSLIS.2013.47.3.343
Kim, Hyun Hee. "Comparing the Use of Semantic Relations between Tags Versus Latent Semantic Analysis for Speech Summarization" Journal of the Korean Society for Library and Information Science 47, no.3 (2013) : 343-361.doi: 10.4275/KSLIS.2013.47.3.343
