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What to do with IEEE Research Papers

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What is the best thing to do when you find a stash of 200,000 recent papers with complete meta data like author name, tags, date of publication, author affiliation, conference or journal, name where published, abstract and every other detail.

I have several ideas.

1) Train an ANN to write research papers
2) Analyze the distribution of research in the countries around the world. Which countries publish more in conference and which in journals, the impact factor of each university and country. And publish these findings in a paper.
3) See what domains are the hot topic and which domains get ow much attention. Publish this research.

Please discuss the feasibility of these ideas and give more ideas.
>>
>>9090965

give them to me
>>
Put all the research papers into a self-learning neural network
>>
>>9090965

It would be nice if you just extracted some simple metadata and put it into a CSV.

> List of titles of publications grouped by university
> Impact by university
> Extract influential papers
> etc

You can't trust university rankings because they are based off of bullshit criteria such as diversity. This would be very useful data.

> 1) Train an ANN to write research papers

That would never work.

I doubt you could get one to write a convincing children's book.
>>
>>9090965
two, and three, and this >>9092449
>>
You give them back, Jamal.
>>
>>9092448 # why not. let's get a fine idea of what to do with them, then I would be happy to do it together.
>>
>>9092538 #

> That would never work.
If you train the AI character by character, then I am sure it would be next to impossible. But if we scan the papers, we'll have some sort of dictionary. Then if we train the AI to arrange those words, it may be somewhat doable.

What do you think?
>>
>>9092920
Are you the world's leading expert in artificial intelligence? Maybe in five years with millions in funding plus a team of researchers working under you.

No? You're fucked.
>>
>>9092538
>>9092920

If you are going to do this, say where you will posts them
>>
>>9092920
Here's what you will most likely get from your AI :
https://isotropic.org/papers/chicken.pdf
It's fine if you don't want it to make much sense, but you have to remember that it will just spout gibberish.
>>
First one won't happen, last two are unpublishable because people already published them years ago

T. Almetric and Bibliometric researcher
>>
>>9090965
Give us the metadata.
Though running your own University Ranking site like >>9092538 is a good idea.
>>
Post some of the more interesting ones
>>
>>9090965
>you find a stash..
You are not the only one. Does your "stash" include retractions and yet-to-be-published entries?
>>
>>9093958
yes, some were yet to be published
>>
Tar ball that shit and drop a torrent!
>>
>>9095301
Fuck off linux fag
>>
>>9092448
not op, but nice try

this imo >>9092538

but aren't all of them are on scihub ?
>>
>>9095318
cringe
Thread posts: 20
Thread images: 1


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