Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents

Nanocellulose is remarkable cellulose-based nanomaterials that have a potential for innovation and sustainable appeal. Their advances can be assessed using patent indicators and text mining techniques. The aim of this study was at analyzing the advances in nanocellulose based on indicators compiled from patents filed at the United States Patent and Trademark Office (USPTO) from 2000 to 2012. Assignees, technological subjects, highly cited patents, applications and types of nanocellulose were obtained by mining structured and unstructured data. The results highlighted the different interests in the USA market, mainly after 2007. Mined terms from titles and abstracts could add further information to the analysis. However, although the method applied was useful, it was not sufficient to identify all applications and types of nanocellulose involved in the sample analyzed, therefore it is recommended that other document parts be included in future analyses.

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Main Authors: Milanez,Douglas Henrique, Amaral,Roniberto Morato do, Faria,Leandro Innocentini Lopes de, Gregolin,José Angelo Rodrigues
Format: Digital revista
Language:English
Published: ABM, ABC, ABPol 2014
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392014000600021
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spelling oai:scielo:S1516-143920140006000212015-02-10Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documentsMilanez,Douglas HenriqueAmaral,Roniberto Morato doFaria,Leandro Innocentini Lopes deGregolin,José Angelo Rodrigues sustainability data mining text mining patent analysis technological mapping Nanocellulose is remarkable cellulose-based nanomaterials that have a potential for innovation and sustainable appeal. Their advances can be assessed using patent indicators and text mining techniques. The aim of this study was at analyzing the advances in nanocellulose based on indicators compiled from patents filed at the United States Patent and Trademark Office (USPTO) from 2000 to 2012. Assignees, technological subjects, highly cited patents, applications and types of nanocellulose were obtained by mining structured and unstructured data. The results highlighted the different interests in the USA market, mainly after 2007. Mined terms from titles and abstracts could add further information to the analysis. However, although the method applied was useful, it was not sufficient to identify all applications and types of nanocellulose involved in the sample analyzed, therefore it is recommended that other document parts be included in future analyses.info:eu-repo/semantics/openAccessABM, ABC, ABPolMaterials Research v.17 n.6 20142014-12-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392014000600021en10.1590/1516-1439.266314
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libraryname SciELO
language English
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author Milanez,Douglas Henrique
Amaral,Roniberto Morato do
Faria,Leandro Innocentini Lopes de
Gregolin,José Angelo Rodrigues
spellingShingle Milanez,Douglas Henrique
Amaral,Roniberto Morato do
Faria,Leandro Innocentini Lopes de
Gregolin,José Angelo Rodrigues
Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents
author_facet Milanez,Douglas Henrique
Amaral,Roniberto Morato do
Faria,Leandro Innocentini Lopes de
Gregolin,José Angelo Rodrigues
author_sort Milanez,Douglas Henrique
title Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents
title_short Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents
title_full Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents
title_fullStr Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents
title_full_unstemmed Technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents
title_sort technological indicators of nanocellulose advances obtained from data and text mining applied to patent documents
description Nanocellulose is remarkable cellulose-based nanomaterials that have a potential for innovation and sustainable appeal. Their advances can be assessed using patent indicators and text mining techniques. The aim of this study was at analyzing the advances in nanocellulose based on indicators compiled from patents filed at the United States Patent and Trademark Office (USPTO) from 2000 to 2012. Assignees, technological subjects, highly cited patents, applications and types of nanocellulose were obtained by mining structured and unstructured data. The results highlighted the different interests in the USA market, mainly after 2007. Mined terms from titles and abstracts could add further information to the analysis. However, although the method applied was useful, it was not sufficient to identify all applications and types of nanocellulose involved in the sample analyzed, therefore it is recommended that other document parts be included in future analyses.
publisher ABM, ABC, ABPol
publishDate 2014
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-14392014000600021
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AT farialeandroinnocentinilopesde technologicalindicatorsofnanocelluloseadvancesobtainedfromdataandtextminingappliedtopatentdocuments
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