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Sentiment Analysis Methods for Social Media

Published: 27 October 2015 Publication History

Abstract

Sentiment Analysis became an important topic in the Web recently, especially regarding to Online Social Networks. Many applications are monitoring products and brands, and even important social events like political campaigns. A large number of Sentiment Analysis methods and techniques were proposed in the literature. This short course offers an introduction to explore this theme. First, we present an overview about sentiment analysis and it's popular applications. Next, we discuss main methods from literature. Finally, we compare these methods with each other highlighting advantages and limitations.

References

[1]
Feldman, Ronen. "Techniques and applications for sentiment analysis." Communications of the ACM 56.4 (2013): 82--89.
[2]
Minqing Hu and Bing Liu. "Mining and summarizing customer reviews. "Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining (KDD). 2004.
[3]
Pollyanna Gonçalves, Matheus Araújo, Meeyoung Cha, Fabrício Benevenuto. Comparing and combining sentiment analysis methods. Proceedings of the first ACM conference on Online social networks (COSN), 2013.
[4]
Matheus Araújo, Pollyanna Gonçalves, Meeyoung Cha, and Fabrício Benevenuto. "ifeel: A System That Compares and Combines Sentiment Analysis Methods." Proc. of the 23rd international conference on World Wide Web (companion volume). 2014

Cited By

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  • (2021)A Mobile Tool for Collecting and Labeling Data on Twitter's Network Sociability PracticesProceedings of the Brazilian Symposium on Multimedia and the Web10.1145/3470482.3479438(25-28)Online publication date: 5-Nov-2021
  • (2021)A Systematic Process for Computing Bourdieusian Social Capital within Institutional Profiles on TwitterProceedings of the Brazilian Symposium on Multimedia and the Web10.1145/3470482.3479437(17-24)Online publication date: 5-Nov-2021
  • (2020)OutdoorSentACM Transactions on Information Systems10.1145/338518638:3(1-28)Online publication date: 21-Apr-2020
  • Show More Cited By

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Published In

cover image ACM Other conferences
WebMedia '15: Proceedings of the 21st Brazilian Symposium on Multimedia and the Web
October 2015
266 pages
ISBN:9781450339599
DOI:10.1145/2820426
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

  • CYTED: Ciência Y Tecnologia Para El Desarrollo
  • SBC: Brazilian Computer Society
  • FAPEAM: Fundacao de Amparo a Pesquisa do Estado do Amazonas
  • CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
  • CGIBR: Comite Gestor da Internet no Brazil
  • CAPES: Brazilian Higher Education Funding Council

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Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2015

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Author Tags

  1. natural language processing
  2. sentiment analysis
  3. social media

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  • Tutorial

Conference

Webmedia '15
Sponsor:
  • CYTED
  • SBC
  • FAPEAM
  • CNPq
  • CGIBR
  • CAPES

Acceptance Rates

WebMedia '15 Paper Acceptance Rate 21 of 61 submissions, 34%;
Overall Acceptance Rate 270 of 873 submissions, 31%

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Cited By

View all
  • (2021)A Mobile Tool for Collecting and Labeling Data on Twitter's Network Sociability PracticesProceedings of the Brazilian Symposium on Multimedia and the Web10.1145/3470482.3479438(25-28)Online publication date: 5-Nov-2021
  • (2021)A Systematic Process for Computing Bourdieusian Social Capital within Institutional Profiles on TwitterProceedings of the Brazilian Symposium on Multimedia and the Web10.1145/3470482.3479437(17-24)Online publication date: 5-Nov-2021
  • (2020)OutdoorSentACM Transactions on Information Systems10.1145/338518638:3(1-28)Online publication date: 21-Apr-2020
  • (2018)Sentiment Analysis in Outdoor Images Using Deep LearningProceedings of the 24th Brazilian Symposium on Multimedia and the Web10.1145/3243082.3243093(181-188)Online publication date: 16-Oct-2018
  • (2017)Spam analysis of big reviews dataset using Fuzzy Ranking Evaluation Algorithm and HadoopInternational Journal of Machine Learning and Cybernetics10.1007/s13042-017-0768-310:8(2143-2162)Online publication date: 16-Dec-2017

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