Skip to main content
SpringerLink
Log in
Book cover

Encyclopedia of Database Systems pp 1–3Cite as

Text Analytics in Social Media

  • Living reference work entry
  • First Online:

  • 71 Accesses

FormalPara Synonyms

Entity extraction in social media; Opinion mining in social media; Text mining in social media

FormalPara Definition

Text analytics in social media is the process of mining large amounts of user-generated texts in various forms including comments, status updates, and posts. The goal of text analytics in social media is to understand the aggregated opinion of online users in several domains including product reviews, news articles, and personal posts.

Text analytics in social media is also used to derive correlations between user demographics and their health and nutrition or demographics and political opinions. This task helps conduct large-scale population studies and design appropriate content recommendation and information dissemination policies.

FormalPara Historical Background

Text analytics in social media relies on a number of tools and techniquesand is encountered in different application domains. Tools range from machine learning and natural language...

This is a preview of subscription content, log in via an institution.

Recommended Reading

  1. Abbar S, Amer-Yahia S, Indyk P, Mahabadi S. Real-time recommendation of diverse related articles. In: WWW; 2013. p. 1–12.

    MATH  Google Scholar 

  2. Aramaki E, Maskawa S, Morita M. Twitter catches the flu: detecting influenza epidemics using Twitter. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, ACL; 2011. p. 1568–76.

    Google Scholar 

  3. Balasubramanyan R, Cohen WW, Pierce D, Redlawsk DP. Modeling polarizing topics: when do different political communities respond differently to the same news? In: ICWSM; 2012.

    Google Scholar 

  4. Blei DM, Ng AY, Jordan MI. Latent Dirichlet allocation. J Mach Learn Res. 2003;3:993–1022.

    MATH  Google Scholar 

  5. Calais Guerra PH, Meira Jr W, Cardie C. Sentiment analysis on evolving social streams: how self-report imbalances can help. In: WSDM; 2014. p. 443–52.

    Google Scholar 

  6. Castillo C, El-Haddad M, Pfeffer J, Stempeck M. Characterizing the life cycle of online news stories using social media reactions. In: CSCW; 2014. p. 211–23.

    Google Scholar 

  7. Culotta A. Lightweight methods to estimate influenza rates and alcohol sales volume from twitter messages. Lang Resour Eval. 2013;1–22.

    Google Scholar 

  8. Dang-Xuan L, Stieglitz S. Impact and diffusion of sentiment in political communication – an empirical analysis of political weblogs. In: ICWSM; 2012.

    Google Scholar 

  9. Dredze M. How social media will change public health. IEEE Intell Syst. 2012;27(4):81–84.

    Article  Google Scholar 

  10. Imran M, Castillo C, Lucas J, Meier P, Vieweg S. AIDR: artificial intelligence for disaster response. In: WWW (Companion Volume); 2014. p. 159–62.

    Google Scholar 

  11. Imran M, Elbassuoni S, Castillo C, Diaz F, Meier P. Practical extraction of disaster-relevant information from social media. In: WWW (Companion Volume); 2013. p. 1021–24.

    Google Scholar 

  12. Kwak H, Lee C, Park H, Moon SB. What is Twitter, a social network or a news media? In: WWW; 2010. p. 591–600.

    Google Scholar 

  13. Meier P. Next generation humanitarian computing. In: CSCW; 2014. p. 1573.

    Google Scholar 

  14. Park M, McDonald DW, Cha M. Perception differences between the depressed and non-depressed users in Twitter. In: ICWSM; 2013.

    Google Scholar 

  15. Paul MJ, Dredze M. You are what you tweet: analyzing Twitter for public health. In: ICWSM; 2011.

    Google Scholar 

  16. Teodoro R, Naaman M. Fitter with Twitter: understanding personal health and fitness activity in social media. In: ICWSM; 2013.

    Google Scholar 

  17. Thelwall M, Buckley K. Topic-based sentiment analysis for the social Web: the role of mood and issue-related words. J Am Soc Inf Sci Technol. 2013;64(8):1608–17.

    Article  Google Scholar 

  18. Thelwall M, Buckley K, Paltoglou G, Cai D, Kappas A. Sentiment strength detection in short informal text. J Am Soc Inf Sci Technol. 2010;61(12):2544–58.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Laboratoire d’Informatique de Grenoble, CNRS and LIG, 681 rue de la passerelle, 38000, Grenoble, France

    Sihem Amer-Yahia

  2. Qatar Computing Research Institute, Doha, Qatar

    Sofiane Abbar

  3. Grenoble Inforamtics Laboratory (LIG), Grenoble, France

    Noha Ibrahim

Authors
  1. Sihem Amer-Yahia
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sofiane Abbar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Noha Ibrahim
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sihem Amer-Yahia .

Editor information

Editors and Affiliations

  1. Georgia Institute of Technology College of Computing, Atlanta, Georgia, USA

    Ling Liu

  2. University of Waterloo School of Computer Science, Waterloo, Ontario, Canada

    M. Tamer Özsu

Section Editor information

  1. IBM Almaden Research Center, San Jose, CA, USA

    Fatma Özcan

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer Science+Business Media LLC

About this entry

Cite this entry

Amer-Yahia, S., Abbar, S., Ibrahim, N. (2017). Text Analytics in Social Media. In: Liu, L., Özsu, M. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4899-7993-3_80672-1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4899-7993-3_80672-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4899-7993-3

  • Online ISBN: 978-1-4899-7993-3

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

Publish with us

Policies and ethics

Search

Navigation