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Understanding readers: Conducting sentiment analysis of instagram captions
KTH, School of Electrical Engineering and Computer Science (EECS), Robotics, Perception and Learning, RPL.ORCID iD: 0000-0003-1356-9653
2018 (English)In: PROCEEDINGS OF 2018 THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE (CSAI 2018) / 2018 THE 10TH INTERNATIONAL CONFERENCE ON INFORMATION AND MULTIMEDIA TECHNOLOGY (ICIMT 2018), Association for Computing Machinery (ACM), 2018, p. 33-40Conference paper, Published paper (Refereed)
Abstract [en]

The advent of media transition highlights the importance of user-generated content on social media. Amongst the methods of analysis of user-generated content, sentiment analysis is widely used. Nevertheless, few studies use sentiment analysis to investigate user-generated content on Instagram in the context of public libraries. Therefore, this study aims to fill this research gap by conducting sentiment analysis of two million captions on Instagram. Supervised machine learning algorithms were employed to create the classifier. Three opinion polarities and six emotions were ultimately identified via these captions. These polarities provide new insights for understanding readers, thus helping libraries to deliver better services.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2018. p. 33-40
Keywords [en]
Captions, Instagram, Readers, Sentiment Analysis, Data mining, Learning algorithms, Libraries, Machine learning, Multimedia systems, Supervised learning, Media transition, Methods of analysis, Public library, Supervised machine learning, User-generated content
National Category
Information Studies
Identifiers
URN: urn:nbn:se:kth:diva-252245DOI: 10.1145/3297156.3297270ISI: 000469786300006Scopus ID: 2-s2.0-85062778865ISBN: 9781450366069 (print)OAI: oai:DiVA.org:kth-252245DiVA, id: diva2:1323365
Conference
2nd International Conference on Computer Science and Artificial Intelligence, CSAI 2018; Shenzhen; China; 8 December 2018 through 10 December 2018
Note

QC20190612

Available from: 2019-06-12 Created: 2019-06-12 Last updated: 2019-06-26Bibliographically approved

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Publisher's full textScopushttp://www.csai.org/2018.html

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Tu, Ruibo

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf