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dc.contributor.authorLi, H
dc.contributor.authorJadidi, Z
dc.contributor.authorChen, J
dc.contributor.authorJo, J
dc.date.accessioned2020-04-27T01:19:33Z
dc.date.available2020-04-27T01:19:33Z
dc.date.issued2019
dc.identifier.isbn9783319784519
dc.identifier.issn2194-5357
dc.identifier.doi10.1007/978-3-319-78452-6_25
dc.identifier.urihttp://hdl.handle.net/10072/393401
dc.description.abstractThe development of the Internet of Things (IoT) drives us to confront, manage and analyse massive and complicated data generated from various sensors. Also, social media have rapidly become very popular and can be considered as important source of data. Twitter on average generates about 6,000 tweets every second, which total to over 500 million tweets per day. Facebook has over 2 billion monthly active users. The individual posts may be trivial, however, the accumulated big data can provide diverse valuable information, which can be also correlated with IoT and enable human sentiment identification of the environment changes. This work proposes a machine learning model for correlation analysis and prediction of weather conditions and social media posts. In experimental evaluation we demonstrate that the Big Data analysis approach and machine learning techniques can be used to analyse and predict sentiment of different weather conditions.
dc.description.peerreviewedYes
dc.publisherSpringer
dc.relation.ispartofconferencename5th International Conference on Robot Intelligence Technology and Applications (RiTA 2017)
dc.relation.ispartofconferencetitleAdvances in Intelligent Systems and Computing
dc.relation.ispartofdatefrom2017-12-13
dc.relation.ispartofdateto2017-12-15
dc.relation.ispartoflocationDeajeon, Korea
dc.relation.ispartofpagefrom291
dc.relation.ispartofpagefrom8 pages
dc.relation.ispartofpageto298
dc.relation.ispartofpageto8 pages
dc.relation.ispartofvolume751
dc.subject.fieldofresearchArtificial intelligence
dc.subject.fieldofresearchcode4602
dc.titleThe use of machine learning for correlation analysis of sentiment and weather data
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationLi, H; Jadidi, Z; Chen, J; Jo, J, The use of machine learning for correlation analysis of sentiment and weather data, Advances in Intelligent Systems and Computing, 2019, 751, pp. 291-298
dc.date.updated2020-04-27T01:17:06Z
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© Springer International Publishing AG, part of Springer Nature 2019. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher.The original publication is available at www.springerlink.com
gro.hasfulltextFull Text
gro.griffith.authorJo, Jun
gro.griffith.authorJadidi, Zahra


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