dChan
Anonymous ID: 000000 Oct. 1, 2020, 2:27 p.m. No.10874309   🗄️.is 🔗kun   >>4314 >>4341 >>4343 >>4381 >>4809 >>4921 >>4982

Lin Wood

@LLinWood

'''Motions to Dismiss @N1ckSandmann

defamation lawsuits filed in KY federal court against NY Times, Rolling Stone, ABC, & CBS were just DENIED.'''

 

NBC motion has previously been DENIED.

 

Gannett motion was briefed on different time schedule & a DENIAL is expected in next few weeks.

 

8:56 PM · Oct 1, 2020·Twitter for iPhone

 

https://twitter.com/LLinWood/status/1311771933298561024

Anonymous ID: 000000 Oct. 1, 2020, 2:42 p.m. No.10874481   🗄️.is 🔗kun   >>4530

>>10874386

you're trying to aggregate the notables?

I built this news summarizer the other day in python

https://pastebin.com/Zf5a2pEr

 

I could tweak it a bit to call the notables. Are you calling from the pastebin link?

Anonymous ID: 000000 Oct. 1, 2020, 2:43 p.m. No.10874496   🗄️.is 🔗kun   >>4590 >>4655

Britain found ‘critical’ weakness in Huawei equipment

"Chinese telecoms giant made to fix flaws that could have put security of British networks at risk, government agency says

Repairs, however, created different ‘major issue’, pointing to ‘deficiencies in Huawei’s engineering processes’"

 

https://www.scmp.com/news/world/europe/article/3103889/britain-found-critical-weakness-huawei-equipment

Anonymous ID: 000000 Oct. 1, 2020, 2:52 p.m. No.10874610   🗄️.is 🔗kun

>>10874530

Got it.

I built it mainly to experiment with the NLTK library and see how well the polarity rating worked. It summarizes the overall emotive context of a news story and provides a feedback score.

But the summary feedback is intuitive. could save you some time