Open cdolfi opened 3 years ago
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@MichaelClifford how does this compare to https://github.com/aicoe-aiops/mailing-list-analysis-toolkit ? Is this essentially the same thing?
@tumido these projects are somewhat similar : ) Insofar as they both are performing some analysis on the Fedora mailing list. I think the main difference at the moment is this is a specific "discriminatory text detection" project @cdolfi is working on for the OSPO team. And https://github.com/aicoe-aiops/mailing-list-analysis-toolkit is less specific as far as analysis goals.
Does that answer your question?
I wonder if there would be any benefit to unify it. @cdolfi can benefit from the automation (automated analysis runs and new data collection) we already have set up for the other project and the other project can benefit from additional analysis it can be capable of... WDYT?
@tumido I would be happy to have this work integrated into the toolkit analysis as it appears to represent another analysis type that would likely be useful for many emailing lists. That said, @cdolfi is the owner of this project so I will leave it up to her if/when she wants to contribute this work into the mailing list toolkit project. @cdolfi if you decide you'd like us to merge these two efforts, let us know and we'd be happy to connect and figure out the best way to perform the integration.
FTR: I don't want to block this PR by any means or question it by any way. I just got curious by the similarity of these projects. :slightly_smiling_face:
@tumido @MichaelClifford I talked with @oindrillac today about working toward merging these two efforts together. I think this is a great idea and would definitely want to connect to see what is the best way to do that is. I feel like the work that each of us are doing is complimentary of each other and leaves a lot of room to save doing the same work twice.
Great! and sorry for hijacking this PR. I've opened an issue here to discuss this integration stuff further. Lets move this discussion there and use this thread to discuss the PR. :smile:
/hold please read https://chat.google.com/room/AAAAQcVnQvs/kDNfLz86AMs before unholding
these two notebooks take the data from hyper kitty, clean and save them as CSVs, and then combines them to a large data set