Datenquelle: WikiQuote über den WikiQuoteXL-Datensatz – https://www.kaggle.com/datasets/kieranpoc/quotes
Tools: Python, pandas, matplotlib, TextBlob, scikit-learn, textstat
Wenn Sie Ihre eigene Fähigkeit, Politiker auseinanderzuhalten, testen möchten, gibt es ein lustiges Ratespiel unter https://www.whosaidthat.co.uk/
Von ResponsibilityFar31
12 Kommentare
Em dash thing on dems is very curious. Guess this explains the origin of ai employing it.
I do also wonder how what is selected for a quote biases the datasets
Trump is skewing that average the same way Elon skews average household income.
What is going on with Pelosi??? She does that much brain dead tweeting?
Two things:
First, neat! Now do the same thing for objective accuracy.
Second, I don’t think that third slide is correct. It says that Trump speaks in short sentences, but I’ve heard him speak for five minutes straight without a single implied punctuation mark, just one long, nonsensical run-on sentence, which I’d assume would raise the average pretty significantly.
Cool visualization but incomplete data. Should be a random sample.
Lotta work to prove Trump is stupid but I applaud it.
Maybe something wrong on my end but the text is really blurry, hard to read most of it.
why say many words when few words do trick?
Having Lincoln and Teddy Rosevelt, two republicans who were president when republicans were the liberals, seems to be muddying the waters a bit.
You list “Bush” as a president. There should be two Bushes (George H. W. and his son George W.).
How was positive, neutral, and negative defined for that second slide?
Roosevelt as a republican?