Extracting patent-related information from online social networks: Case of facebook

Alexander Ivanov, Zeljko Tekic

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this study, we investigate how to identify and extract patent-related information from Facebook, the largest online social network. In the first step, we identified a list of trustworthy sources we started search from. Then, we developed algorithms for extracting and filtering information, and based on them software tool that is able to identify and deliver a patent, the Facebook post where it is mentioned and news / blog article which discuss it. We did a pilot test and collected more than 50 examples of articles (and Facebook posts) that add value to the patent they refer to. We classified collected articles and discussed how they can be used. Finally, we outlined where developed tool can be applied.

Original languageEnglish
Title of host publicationProceedings of the 28th International DAAAM Symposium "Intelligent Manufacturing and Automation", DAAAM 2017
EditorsBranko Katalinic
PublisherDanube Adria Association for Automation and Manufacturing, DAAAM
Pages433-438
Number of pages6
ISBN (Electronic)9783902734112
DOIs
Publication statusPublished - 2017
Event28th DAAAM International Symposium on Intelligent Manufacturing and Automation, DAAAM 2017 - Zadar, Croatia
Duration: 8 Nov 201711 Nov 2017

Publication series

NameAnnals of DAAAM and Proceedings of the International DAAAM Symposium
ISSN (Print)1726-9679

Conference

Conference28th DAAAM International Symposium on Intelligent Manufacturing and Automation, DAAAM 2017
Country/TerritoryCroatia
CityZadar
Period8/11/1711/11/17

Keywords

  • Facebook
  • Patent analysis
  • Patents
  • Social networks

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