Paper Abstract and Keywords |
Presentation |
2016-06-05 10:20
A Comparative Analysis of Sizzle words for Automatic Extraction of "Palatability" Maki Morita (Wakayama Univ.), Eiji Aramaki (NAIST), Akiyo Nadamoto (Konan Univ.), Mai Miyabe (Wakayama Univ.) TL2016-11 NLC2016-11 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Nowadays, the restaurant search services on the Internet become popular, people use them when they search the new restaurant.
It is, however, difficult for users to find their desired restaurant by using existing restaurant search services.
In this study, we propose new restaurant search system which searches for user's desired restaurant based on sizzle word such as ``MOCHI-MOCHI" and ``SAKU-SAKU". on the Twitter.
In this paper, as a first step of the study, we examine the possibility of automatic classification of sizzle tweet for three types as ``taste-type", ``texture-type", and ``information-type" based on our sizzle words classifier system.
From our examine, we defined (1)we can automatic classify tweets with sizzle words according to three types, (2)there are sizzle word pair which classify each other in a three types, and (3)we can classify ``taste-type" and ``texture-type" each other. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Sizzle related words / Microblog / Twitter / Automatic classification / Restaurant recommendation / / / |
Reference Info. |
IEICE Tech. Rep., vol. 116, no. 78, NLC2016-11, pp. 53-58, June 2016. |
Paper # |
NLC2016-11 |
Date of Issue |
2016-05-28 (TL, NLC) |
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) |
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TL2016-11 NLC2016-11 |
Conference Information |
Committee |
NLC TL |
Conference Date |
2016-06-04 - 2016-06-05 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Otaru University of Commerce |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Application of natural language proessing and linguistic analysis, and general topic of NLP |
Paper Information |
Registration To |
NLC |
Conference Code |
2016-06-NLC-TL |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Comparative Analysis of Sizzle words for Automatic Extraction of "Palatability" |
Sub Title (in English) |
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Keyword(1) |
Sizzle related words |
Keyword(2) |
Microblog |
Keyword(3) |
Twitter |
Keyword(4) |
Automatic classification |
Keyword(5) |
Restaurant recommendation |
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1st Author's Name |
Maki Morita |
1st Author's Affiliation |
Wakayama University (Wakayama Univ.) |
2nd Author's Name |
Eiji Aramaki |
2nd Author's Affiliation |
Nara Institute of Science and Technology (NAIST) |
3rd Author's Name |
Akiyo Nadamoto |
3rd Author's Affiliation |
Konan University (Konan Univ.) |
4th Author's Name |
Mai Miyabe |
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Wakayama University (Wakayama Univ.) |
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Speaker |
Author-1 |
Date Time |
2016-06-05 10:20:00 |
Presentation Time |
25 minutes |
Registration for |
NLC |
Paper # |
TL2016-11, NLC2016-11 |
Volume (vol) |
vol.116 |
Number (no) |
no.77(TL), no.78(NLC) |
Page |
pp.53-58 |
#Pages |
6 |
Date of Issue |
2016-05-28 (TL, NLC) |
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