Information: Join today and make your research activities more affordable! Technical workshop participation fees and annual registration fees are available at member rates.
Notice: [Important] Announcement of Changes to Registration Fee Payment and Manuscript Upload Procedures for IEICE Technical Meetings
IEICE Technical Committee Submission System
Conference Paper's Information		 Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2026-03-17 10:35
Target Keyword Selection for Trend-Precursor Analysis on Social Media: Related-Term Discovery from Well-Known Seed Term Sets and a Discussion on Non-Obviousness
Chihiro Sanada, Kazuki Nakajima, Masaki Aida (Tokyo Metropolitan Univ.) CCS2025-58
Abstract (in Japanese) (See Japanese page) 
(in English) To apply trend-precursor analysis based on time-series search logs to a wide range of topics, it is necessary to narrow down target keywords in advance.
With a view to future application to trend-precursor analysis on social media, this study investigates a method for ranking candidate target keywords by starting from a seed term set consisting of multiple well-known domain terms and discovering related terms from a text stream.
As a case study for accessibility, we use corporate press releases.
Specifically, we rank candidates by combining co-occurrence-based candidate extraction, suppression of overly generic terms using TF-IDF, and extraction of representative keyphrases using KeyBERT, based on (i) keyword-set bundling that treats the seed term set as a single virtual seed and (ii) document-set bundling that aggregates documents containing the seed terms.
We further conduct a qualitative assessment of the non-obviousness of the top-ranked candidates.
A case study on the climate-change domain suggests that, compared with using a single seed term, combining keyword/document bundling with TF-IDF and KeyBERT yields diverse related-term candidates that better capture an overall view of the domain.
Keyword (in Japanese) (See Japanese page) 
(in English) target keyword selection / seed term set / bundling / TF-IDF / KeyBERT / non-obviousness / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 416, CCS2025-58, pp. 23-28, March 2026.
Paper # CCS2025-58 
Date of Issue 2026-03-10 (CCS) 
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 CCS2025-58

Conference Information
Committee CCS  
Conference Date 2026-03-17 - 2026-03-18 
Place (in Japanese) (See Japanese page) 
Place (in English) RUSUTSU RESORT 
Topics (in Japanese) (See Japanese page) 
Topics (in English) CCS, etc. 
Paper Information
Registration To CCS 
Conference Code 2026-03-CCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Target Keyword Selection for Trend-Precursor Analysis on Social Media: Related-Term Discovery from Well-Known Seed Term Sets and a Discussion on Non-Obviousness 
Sub Title (in English)  
Keyword(1) target keyword selection  
Keyword(2) seed term set  
Keyword(3) bundling  
Keyword(4) TF-IDF  
Keyword(5) KeyBERT  
Keyword(6) non-obviousness  
Keyword(7)  
Keyword(8)  
1st Author's Name Chihiro Sanada  
1st Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
2nd Author's Name Kazuki Nakajima  
2nd Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
3rd Author's Name Masaki Aida  
3rd Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
21st Author's Name  
21st Author's Affiliation ()
22nd Author's Name  
22nd Author's Affiliation ()
23rd Author's Name  
23rd Author's Affiliation ()
24th Author's Name  
24th Author's Affiliation ()
25th Author's Name  
25th Author's Affiliation ()
26th Author's Name / /
26th Author's Affiliation ()
()
27th Author's Name / /
27th Author's Affiliation ()
()
28th Author's Name / /
28th Author's Affiliation ()
()
29th Author's Name / /
29th Author's Affiliation ()
()
30th Author's Name / /
30th Author's Affiliation ()
()
31st Author's Name / /
31st Author's Affiliation ()
()
32nd Author's Name / /
32nd Author's Affiliation ()
()
33rd Author's Name / /
33rd Author's Affiliation ()
()
34th Author's Name / /
34th Author's Affiliation ()
()
35th Author's Name / /
35th Author's Affiliation ()
()
36th Author's Name / /
36th Author's Affiliation ()
()
Speaker Author-1 
Date Time 2026-03-17 10:35:00 
Presentation Time 20 minutes 
Registration for CCS 
Paper # CCS2025-58 
Volume (vol) vol.125 
Number (no) no.416 
Page pp.23-28 
#Pages 6 
Date of Issue 2026-03-10 (CCS) 

[Return to Top Page]

[Return to IEICE Web Page]
The Institute of Electronics, Information and Communication Engineers (IEICE), Japan