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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)

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Bibliographic Details
Main Authors: Wang Y., Siriaraya P., Mohd Pozi M.S., Kawai Y., Jatowt A.
Other Authors: 56242936500
Format: Conference Paper
Published: Springer Verlag 2023
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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 13.211869

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