Please use this identifier to cite or link to this item:
https://doi.org/10.1109/IJCNN.2005.1555890
DC Field | Value | |
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dc.title | A comparative study on term weighting schemes for text categorization | |
dc.contributor.author | Lan, M. | |
dc.contributor.author | Sung, S.-Y. | |
dc.contributor.author | Low, H.-B. | |
dc.contributor.author | Tan, C.-L. | |
dc.date.accessioned | 2013-07-04T08:04:33Z | |
dc.date.available | 2013-07-04T08:04:33Z | |
dc.date.issued | 2005 | |
dc.identifier.citation | Lan, M.,Sung, S.-Y.,Low, H.-B.,Tan, C.-L. (2005). A comparative study on term weighting schemes for text categorization. Proceedings of the International Joint Conference on Neural Networks 1 : 546-551. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/IJCNN.2005.1555890" target="_blank">https://doi.org/10.1109/IJCNN.2005.1555890</a> | |
dc.identifier.isbn | 0780390482 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/40449 | |
dc.description.abstract | The term weighting scheme, which is used to convert documents into vectors in the term spaces, is a vital step in automatic text categorization. The previous studies showed that term weighting schemes dominate the performance rather than the kernel functions of S Ms for the text categorization task. In this paper, we conducted experiments to compare various term weighting schemes with S M on two widely-used benchmark data sets. We also presented a new term weighting scheme t f . r f for text categorization. The cross-scheme comparison was performed by using McNcmar's Tests. The controlled experimental results showed that the newly proposed t f . r f scheme is significantly better than other term weighting schemes. Compared with schemes related with t f factor alone, the idf factor does not improve or even decrease the term's discriminating power for text categorization. The binary and t f .chi representations significantly underperform the other term weighting schemes. © 2005 IEEE. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/IJCNN.2005.1555890 | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.doi | 10.1109/IJCNN.2005.1555890 | |
dc.description.sourcetitle | Proceedings of the International Joint Conference on Neural Networks | |
dc.description.volume | 1 | |
dc.description.page | 546-551 | |
dc.description.coden | 85OFA | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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