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

[Bernhard Rieder]

Hi Charles,

To help with some student projects, I patched together an almost ridiculously primitive tool, using Python's emoji package - you paste text in a form field and get emoji statistics in return: http://labs.polsys.net/tools/textanalysis/

May still be useful somehow.

best,
Bernhard

---  
Bernhard Rieder | Associate Professor | New Media and Digital Culture  
University of Amsterdam | Turfdraagsterpad 9 | 1012 XT Amsterdam | The Netherlands  
http://thepoliticsofsystems.net | http://labs.polsys.net | https://www.digitalmethods.net | @RiederB

> On 11 Jun 2018, at 11:44, Charles M. Ess <c.m.ess at media.uio.no> wrote:
> 
> 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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