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		<identifier>8JMKD3MGPDW34P/3SEURDB</identifier>
		<repository>sid.inpe.br/mtc-m16c/2018/12.27.18.33</repository>
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		<issn>2179-4847</issn>
		<citationkey>AndradeDegResDelAlb:2018:DoKeNo</citationkey>
		<title>Does keyword noise change over space and time? a case study of social media messages</title>
		<format>On-line</format>
		<year>2018</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>3012 KiB</size>
		<author>Andrade, Sidgley C. de,</author>
		<author>Degrossi, Livia Castro,</author>
		<author>Restrepo-Estrada, Camilo,</author>
		<author>Delbem, Alexandre C. B.,</author>
		<author>Albuquerque, João Porto de,</author>
		<affiliation>Universidade Tecnologia Federal do Paraná (UTFPR)</affiliation>
		<affiliation>Universidade de São Paulo (USP)</affiliation>
		<affiliation>University of Antioquia</affiliation>
		<affiliation>Universidade de São Paulo (USP)</affiliation>
		<affiliation>University of Warwick</affiliation>
		<electronicmailaddress>sidgleyandrade@utfpr.edu.br</electronicmailaddress>
		<electronicmailaddress>degrossi@icmc.usp.br</electronicmailaddress>
		<electronicmailaddress>camilo.restrepo@udea.edu.co</electronicmailaddress>
		<electronicmailaddress>acbd@icmc.usp.br</electronicmailaddress>
		<electronicmailaddress>porto@warwick.ac.uk</electronicmailaddress>
		<editor>Vinhas, Lúbia (INPE),</editor>
		<editor>Campelo, Claudio (UFCG),</editor>
		<e-mailaddress>lubia@dpi.inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Geoinformática, 19 (GEOINFO)</conferencename>
		<conferencelocation>Campina Grande</conferencelocation>
		<date>05-07 dez. 2018</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>116-121</pages>
		<transferableflag>1</transferableflag>
		<abstract>Social media is a valuable source of information for different do- mains, since users share their opinion and knowledge in (near) real-time. More- over, users usually use different words to refer to a particular event (e.g., a rain event). These words may be later employed to filter social media messages re- garding new occurrences of the event and, thus, to reduce the number of unre- lated messages. These words, however, may have different meanings and, thus, may not reduce the number of messages. In this work, we conduct a case study to measure which rain- or flood-related keywords are less relevant to reduce the number of unrelated messages. The results show that the keywords change over space, due to local language/culture, and time, specially in different time scales.</abstract>
		<area>SRE</area>
		<language>pt</language>
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		<url>http://mtc-m16c.sid.inpe.br/rep-/sid.inpe.br/mtc-m16c/2018/12.27.18.33</url>
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