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| Paper Abstract and Keywords | ||
| Presentation | 2020-03-09 17:25 Feature Analysis of Strange Words for Spam Mail Filtering Seiya Temma, Kazuya Nakatani, Manabu Sugii, Hiroshi Matsuno (Yamaguchi Univ.)  MSS2019-60 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this study, we discuss preparing processes of text for mail filtering, and improve the accuracy of the mail classification. It is necessary to remove noise, which can be symbols and abbreviated words, from the mail data appropriately, but the treatment of these words have not been investigated carefully. We found that features of strange word is important for mail filtering by comparing an old and a new set of mails. We also confirmed that the accuracy of mail filtering can be improved by bsfilter with strange words. The result suggested that we can take advantage of the features of spam mails using strange words for mail filtering. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | mail filtering / preparing processes of text / strange words / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 470, MSS2019-60, pp. 13-18, March 2020. | |
| Paper # | MSS2019-60 | |
| Date of Issue | 2020-03-02 (MSS) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | MSS2019-60 |
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| Conference Information | |
| Committee | MSS NLP |
| Conference Date | 2020-03-09 - 2020-03-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | SICE-DES, IEICE-MSS, IEICE-NLP |
| Paper Information | |
| Registration To | MSS |
| Conference Code | 2020-03-MSS-NLP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Feature Analysis of Strange Words for Spam Mail Filtering |
| Sub Title (in English) | |
| Keyword(1) | mail filtering |
| Keyword(2) | preparing processes of text |
| Keyword(3) | strange words |
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| 1st Author's Name | Seiya Temma |
| 1st Author's Affiliation | Yamaguchi University (Yamaguchi Univ.) |
| 2nd Author's Name | Kazuya Nakatani |
| 2nd Author's Affiliation | Yamaguchi University (Yamaguchi Univ.) |
| 3rd Author's Name | Manabu Sugii |
| 3rd Author's Affiliation | Yamaguchi University (Yamaguchi Univ.) |
| 4th Author's Name | Hiroshi Matsuno |
| 4th Author's Affiliation | Yamaguchi University (Yamaguchi Univ.) |
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| Speaker | Author-1 |
| Date Time | 2020-03-09 17:25:00 |
| Presentation Time | 25 minutes |
| Registration for | MSS |
| Paper # | MSS2019-60 |
| Volume (vol) | vol.119 |
| Number (no) | no.470 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2020-03-02 (MSS) |
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