Towards understanding cross-cultural crowd sentiment using social media
Data mining; Sentiment analysis; Cross-cultural differences; Cross-cultural study; Geographical area; Network-based approach; Similar but sentimentally different; Social media; Social networking (online)
Saved in:
Main Authors: | , , , , |
---|---|
Other Authors: | |
Format: | Conference Paper |
Published: |
Springer Verlag
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-24213 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-242132023-05-29T14:57:03Z Towards understanding cross-cultural crowd sentiment using social media Wang Y. Siriaraya P. Mohd Pozi M.S. Kawai Y. Jatowt A. 56242936500 47562025200 57219746822 8902658900 14826985000 Data mining; Sentiment analysis; Cross-cultural differences; Cross-cultural study; Geographical area; Network-based approach; Similar but sentimentally different; Social media; Social networking (online) Social media such as Twitter has been frequently used for expressing personal opinions and sentiments at different places. In this paper, we propose a novel crowd sentiment analysis for fostering cross-cultural studies. In particular, we aim to find similar meanings but different sentiments between tweets collected over geographical areas. For this, we detect sentiments and topics of each tweet by applying neural network based approaches, and we assign sentiments to each topic based on the sentiments of the corresponding tweets. This permits finding cross-cultural patterns by computing topic and sentiment correspondence. The proposed methods enable to analyze tweets from diverse geographical areas sentimentally in order to explore cross-cultural differences. � Springer International Publishing AG, part of Springer Nature 2018. Final 2023-05-29T06:57:03Z 2023-05-29T06:57:03Z 2018 Conference Paper 10.1007/978-3-319-78105-1_8 2-s2.0-85044418132 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044418132&doi=10.1007%2f978-3-319-78105-1_8&partnerID=40&md5=65e53b3ce918b7cf9a744e3d031ad720 https://irepository.uniten.edu.my/handle/123456789/24213 10766 LNCS 67 73 Springer Verlag Scopus |
institution |
Universiti Tenaga Nasional |
building |
UNITEN Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Tenaga Nasional |
content_source |
UNITEN Institutional Repository |
url_provider |
http://dspace.uniten.edu.my/ |
description |
Data mining; Sentiment analysis; Cross-cultural differences; Cross-cultural study; Geographical area; Network-based approach; Similar but sentimentally different; Social media; Social networking (online) |
author2 |
56242936500 |
author_facet |
56242936500 Wang Y. Siriaraya P. Mohd Pozi M.S. Kawai Y. Jatowt A. |
format |
Conference Paper |
author |
Wang Y. Siriaraya P. Mohd Pozi M.S. Kawai Y. Jatowt A. |
spellingShingle |
Wang Y. Siriaraya P. Mohd Pozi M.S. Kawai Y. Jatowt A. Towards understanding cross-cultural crowd sentiment using social media |
author_sort |
Wang Y. |
title |
Towards understanding cross-cultural crowd sentiment using social media |
title_short |
Towards understanding cross-cultural crowd sentiment using social media |
title_full |
Towards understanding cross-cultural crowd sentiment using social media |
title_fullStr |
Towards understanding cross-cultural crowd sentiment using social media |
title_full_unstemmed |
Towards understanding cross-cultural crowd sentiment using social media |
title_sort |
towards understanding cross-cultural crowd sentiment using social media |
publisher |
Springer Verlag |
publishDate |
2023 |
_version_ |
1806423477579677696 |
score |
13.214268 |