[Air-L] emotion detection machines - round 2

[Necip Enes GENGEÇ]

Hi Charles,

I think it's a complete research problem by itself that you are struggling
with. I didn't used Senpy before but it's a predictor at the end of the day
and it'll only be close to real conclusion. Incase you want to reduce the
manual work, I suggest running the analysis with multiple solutions eg.
with Meltwater, Senpy etc. and drive a conclusion for the manual check from
a combined result.

Cheers,
Necip

25 Eki 2019 Cum 16:14 tarihinde Charles M. Ess <c.m.ess at media.uio.no> şunu
yazdı:

> Dear AoIRists,
>
> First of all, many thanks again to everyone who contributed suggestions
> and critical comments regarding emotion detection machines.
>
> My student settled on Senpy, despite important criticisms and
> limitations, and is now in a second phase of analysis.
>
> The student is collecting emotional analyses of both primary posts and
> comments.  Primary posts range around 800 - comment posts are ca. 7000.
> The student went through the primary posts, and found that Senpy misread
> a post ca. 20% of the time, e.g., Senpy's analysis of a post might be
> "sadness," but when read in context, the emotional response was clearly
> happiness.
>
> Query: what is there to do, if anything, with Senpy's analysis of the
> 7000+ comment posts?
> It is not possible for the student to do the same process of manually
> cleaning the data.
> So: does the student just take up the results as they are, assuming that
> there will likely be a 20% error rate and simply accept that as a limit
> to the method / analysis?
> Or: ???
> I can't think of a good way forward here (no surprise: my PhD was on
> Kant ...) - so I'm hoping very likely many AoIRists will have one or
> more good solutions or suggestions.
>
> Many thanks in advance, and all best,
> - charles
>
>
> --
> 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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