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1. Identity statement
Reference TypeBook Section
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3LS9S2S
Repositorysid.inpe.br/plutao/2016/06.13.19.25   (restricted access)
Last Update2016:06.15.12.30.39 (UTC) administrator
Metadata Repositorysid.inpe.br/plutao/2016/06.13.19.25.01
Metadata Last Update2021:01.03.02.11.00 (UTC) administrator
DOI10.1007/978-3-319-32467-8_100
ISBN9783319324661
Labellattes: 8626122636195184 5 VasconcelosSanNetFerVas:2016:UsTwRa
Citation KeyVasconcelosSantFiguFerr:2016:UsTwRa
TitleUsing Tweets for Rainfall Monitoring
Year2016
Access Date2024, Mar. 29
Secondary TypePRE LI
Number of Files1
Size2062 KiB
2. Context
Author1 Vasconcelos, Luiz Eduardo Guarino de
2 Santos, Eder C. M.
3 Figueiredo Neto, Mário Lemes de
4 Ferreira, Nelson Jesus
Resume Identifier1
2
3
4 8JMKD3MGP5W/3C9JHUB
Group1 DSA-CPT-INPE-MCTI-GOV-BR
2
3 DSA-CPT-INPE-MCTI-GOV-BR
4 DSA-CPT-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 luiz.guarino@cptec.inpe.br
2
3 mario.figueiredo@inpe.br
4 nelson.ferreira@inpe.br
EditorLafiti, Shahram
Book TitleAdvances in Intelligent Systems and Computing
PublisherSpringer International Publishing
Volume448
Pages1157-1167
Series TitleAdvances in Intelligent Systems and Computing
History (UTC)2016-06-13 19:25:01 :: lattes -> administrator ::
2016-06-15 12:07:01 :: administrator -> simone :: 2016
2016-06-15 12:26:34 :: simone -> administrator :: 2016
2016-06-15 12:29:14 :: administrator -> simone :: 2016
2016-06-20 13:14:15 :: simone -> administrator :: 2016
2021-01-03 02:11:00 :: administrator -> simone :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typefinaldraft
KeywordsTwitter
Hashtags
Geolocation
Social media analysis
AbstractIn Brazil, the summer season is the wettest period in which many disasters can happen, such as landslides and floods. In recent years, even with the rainy season, the metropolitan region of São Paulo (Brazil) suffers a severe water crisis. Given this scenario, monitoring of rainfall is fundamental for taking preventive actions and planning in the various business branches. Thus, the use of computers to develop tools that assist the rainfall monitoring can help extend the coverage of the existing solutions. Moreover, it is known that, every day, the number of social media users is increasing, and consequently increases the amount of content published in these medias. The objective of this study is to analyze the contents of the Twitter social media, especially the tweets related to rainfall events in order to determine whether this information can contribute to the monitoring of rainfall events in Brazil. More than 1 million tweets published in Brazil related to rainfall were collected in a period of 30 days. Gathered tweets were analyzed and evaluated taking into account the data collected by automatic weather stations (AWS or EMA). The results were satisfactory and indicate a relationship between the geolocated tweets and data from AWS.
AreaMET
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSA > Using Tweets for...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languagept
User Grouplattes
self-uploading-INPE-MCTI-GOV-BR
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
LinkingTrabalho não Vinculado à Tese/Dissertação
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/43SRC6S
URL (untrusted data)http://link.springer.com/10.1007/978-3-319-32467-8_100
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
NotesInternational Conference on Information Technology, 13
Empty Fieldsarchivingpolicy archivist callnumber city copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition format issn lineage mark nextedition numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject targetfile tertiarytype translator
7. Description control
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