[Air-L] analytical tools for emojis, textual expressions of emotions?

[Shulman, Stu]

This may also be of use:

https://unicode.org/emoji/charts/full-emoji-list.html

All of the emoji's can be used as capture rules via the Premium Twitter API
(formerly Gnip).

~Stu



On Mon, Jun 11, 2018 at 7:24 AM, Agnese Sampietro <agsamp at gmail.com> wrote:

> Dear Charles,
>
> I'll send you a couple of references, which may be of your student's
> interest.
>
> Sampietro, A., & Valera. (2015). Emotional politics on Facebook. An
> exploratory study of Podemos’ discourse during the European election
> campaign 2014. Recerca. Revista de pensament i anàlisi, 17. Available at:
> http://www.e-revistes.uji.es/index.php/recerca/article/view/1739/1584
>
> Anderson, A. A., Brossard, D., Scheufele, D. A., Xenos, M. A., & Ladwig, P.
> (2014). The “Nasty Effect:” Online Incivility and Risk Perceptions of
> Emerging Technologies. Journal of Computer-Mediated Communication, 19(3),
> 373-387. http://doi.org/10.1111/jcc4.12009
>
> Barbieri, F., Ronzano, F., & Saggion, H. (2016, May). What does this Emoji
> Mean? A Vector Space Skip-Gram Model for Twitter Emojis. In *LREC*.
>
> Kind regards,
>
>
> Agnese Sampietro
> <http://www.linkedin.com/in/agnesesampietro>
> http://www.linkedin.com/in/agnesesampietro
> @speakabouttech <https://twitter.com/speakabouttech>
> https://sites.google.com/view/agnesesampietro
>
> 2018-06-11 12:44 GMT+02:00 Charles M. Ess <c.m.ess at media.uio.no>:
>
> > Dear AoIRists,
> >
> > one of our MA students is exploring the role of diverse emotions - first
> > of all, anger - in responses to news stories on three major Norwegian
> news
> > sites.  The broad hypothesis is that anger will be most prevalent and
> > effective in catalyzing further response (including sharing, likes,
> etc.) -
> > but four emotions total are taken on board: sadness, anger, surprise, and
> > happiness.
> >
> > 1) There is an online tool available for analyzing the emotive content of
> > texts - "The SATI API enables to perform Sentiment Analysis from Textual
> > Information", etc.  Comments and observations on its utility, validity?
> >
> > 2) Recommendations, please, for either useful examples of similar
> > research, especially with a view towards methods of accumulating and then
> > analyzing emoticons, and/or other suggestions regarding possible tools?
> >
> > Many thanks in advance,
> > - charles ess
> > --
> > Professor in Media Studies
> > Department of Media and Communication
> > University of Oslo
> > <http://www.hf.uio.no/imk/english/people/aca/charlees/index.html>
> >
> > Postboks 1093
> > Blindern 0317
> > Oslo, Norway
> > c.m.ess at media.uio.no
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-- 
Dr. Stuart W. Shulman
Founder and CEO, Texifter
Cell: 413-992-8513
LinkedIn: http://www.linkedin.com/in/stuartwshulman