Hi,
I'm very interested by the project John Weitzmann proposed, here is
his post from
http://p2pu.org/node/3838/forums/4123
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I'd like to propose a project one could call "parallel news", to have
a synoptic presentation of 3 to 5 news texts (columns next to each
other) covering the same news item, but from different perspectives.
The perspectives should be the classical political threads of
newspaper background, i.e. progressive, conservative, libertarian,
left-wing a.s.o. The idea is to give the reader a new possibility to
directly compare what different political threads write about the same
event.
The work could be done cooperatively and would include:
1. Identify suitable news text sources (in every country there's
probably at least one newspaper in each of the threads mentioned
above).
2. Cooperatively decide on a suitable news item.
3. Summarise the respective text so that they have approx. the same
length.
4. Publish the summaries on the web.
Is anyone up for this?
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We discussed there to make a webapp for this, I have the skills to do
it.
I would use both Reuters' Open Calais and Zemanta services to do named
entity recognition in a news item, to further discover others that
talk about the same thing and to align them in parallel. I can also
overlay if needed GATE (
gate.ac.uk, for English texts mainly) to see
when those recognized terms are part of a noun phrase, etc.
I'm investigating now what sentiment analysis services/APIs are
available.
On top of that I would add Cohere from the Jetpack for Learning to
allow users to annotate arguments, ideas, etc.
Should we create the project on GitHub (for code and wiki, issues,
etc.)? Also I believe we could make it a Mozilla Drumbeat one?
(I'm @gridinoc on Twitter.)
Cheers,
Laurian Gridinoc
http://purl.org/net/laur