Application of soft computing techniques for estimating emotional states expressed in Twitter® time series data-Reference-Cited by-同舟云学术

Application of soft computing techniques for estimating emotional states expressed in Twitter® time series data

Published:2019-02-06 Issue:8 Volume:32 Page:3535-3548
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Çakıt Erman^ORCID,Karwowski Waldemar,Servi Les

Funder

Office of Naval Research

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-019-04048-5/fulltext.html

Reference43 articles.

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3. Karwowski W (2012) A review of human factors challenges of complex adaptive systems: discovering and understanding chaos in human performance. Hum Factors 54(6):983–995

4. Twitter (2017) Twitter analytics. https://analytics.twitter.com/ . Accessed 13 Dec 2017

5. Pennebaker JW, Boyd RL, Jordan K, Blackburn K (2015) The development and psychometric properties of LIWC2015. University of Texas at Austin, Austin

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