[Air-L] emotion detection machine?

[Alette Schoon]

Dear Charles

Meltwater is a commercial tool that lets you analyse sentiment. It allows
you to track social media as well as regular media using specific search
strings and you can compare different publications and it can also search
behind paywalls. It is normally quite pricey, but they have a classroom
project that universities can sign up to where students enrolled in a
specific course use it for free.

Best
Alette

Alette Schoon (PhD)
Senior Lecturer
Documentary Filmmaking, Mobile and Internet Studies
School of Journalism and Media Studies
Rhodes University
South Africa
https://www.researchgate.net/profile/Alette_Schoon



-----Original Message-----
From: Air-L <air-l-bounces at listserv.aoir.org> On Behalf Of Charles M. Ess
Sent: 05 September 2019 12:52 PM
To: air-l <air-l at listserv.aoir.org>
Subject: [Air-L] emotion detection machine?

Dear colleagues,

One of our students is wanting to analyze emotional content in in the
comment fields of a major newspaper vis-a-vis specific hot-button issues.

She has a good tool (I think) for scrapping the data - but she is stymied
over the choice of an emotion analysis tool. She has looked at Senpy
(http://senpy.gsi.upm.es/#test) and  Twinword
<https://www.twinword.com/api/emotion-analysis.php> - the latter seems the
most accurate, but it is also expensive.
She has recently discovered DepecheMood emotion lexicons (Staiano, J., &
Guerini, M. (2014). Depechemood: a lexicon for emotion analysis from
crowd-annotated news. arXiv preprint arXiv:1405.1605.) - but this suffers
from a lack of clarity in terms of explaining its emotional
categories: awe, indifference, sad, amusement , annoyance, joy, fear and
anger.

For my part, I am entirely clueless.  Any suggestions that she might
pursue would be greatly appreciated.

best,
- 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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