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| Paper Abstract and Keywords | ||
| Presentation | 2022-01-18 13:00 Proposal of a Twitter account usefulness judgment system for job hunting measures for students Yuasa Takeo, Kunieda Yoshitoshi (Ritsumeikan Univ.)  IN2021-26 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | With the spread of coronavirus infection, it has become difficult to collect information face-to-face with students who are looking for a job. As a result, students are forced to engage in non-face-to-face activities, and the use of SNS such as Twitter, Facebook, and Instagram is rapidly increasing as a means of collecting information. At the same time, the need for IT literacy for collecting information on SNS is also increasing. Therefore, in this paper, we propose a method to classify useful information and non-useful information for students in job hunting on Twitter, which is suitable for non-face-to-face and sharing of important information. The proposed method uses correlation and regression analysis to determine the causal relationship between the usefulness of the account and the traces that occur in the operation of Twitter | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Twitter / correlation analysis / regression analysis / causal inference / classification / usefulness / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 324, IN2021-26, pp. 13-18, Jan. 2022. | |
| Paper # | IN2021-26 | |
| Date of Issue | 2022-01-11 (IN) | |
| ISSN | 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 | IN2021-26 |
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| Conference Information | |
| Committee | IN |
| Conference Date | 2022-01-18 - 2022-01-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Contents Distribution, Social Networking Services, Data Analytics and Processing Platform, Big data, etc. |
| Paper Information | |
| Registration To | IN |
| Conference Code | 2022-01-IN |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Proposal of a Twitter account usefulness judgment system for job hunting measures for students |
| Sub Title (in English) | |
| Keyword(1) | |
| Keyword(2) | correlation analysis |
| Keyword(3) | regression analysis |
| Keyword(4) | causal inference |
| Keyword(5) | classification |
| Keyword(6) | usefulness |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yuasa Takeo |
| 1st Author's Affiliation | Ritsumeikan University (Ritsumeikan Univ.) |
| 2nd Author's Name | Kunieda Yoshitoshi |
| 2nd Author's Affiliation | Ritsumeikan University (Ritsumeikan Univ.) |
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| Speaker | Author-1 |
| Date Time | 2022-01-18 13:00:00 |
| Presentation Time | 25 minutes |
| Registration for | IN |
| Paper # | IN2021-26 |
| Volume (vol) | vol.121 |
| Number (no) | no.324 |
| Page | pp.13-18 |
| #Pages | 6 |
| Date of Issue | 2022-01-11 (IN) |
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