I did something bad with my data yesterday. This is the correct version (I hope)

GPT-2 Agents

• Generating some results for Friday
• Splitting the results on the probes. It looks like the second tweet in a series is better formed. That kind of makes sense, because the second tweet is based on the first. That leads to an interesting idea. Maybe we should try building chains of text using the result from the previous
• Generating text with 1000 chars and parsing it, throwing away the first and last element in the list. I can also parse out the tweet, location, and sentiment:

[1]: In December of 2019, @svsvzz (21046 followers, 21784 following) posted a retweet, mentioning @ArticleSpot. It was sent from Saudi Arabia. @svsvzz wrote: "RT @ArticleSpot New update # Comment_study is coming..". The retweet was categorized as "Neutral". 
     Location = Saudi Arabia
     Sentiment = Neutral
     Tweet = RT @ArticleSpot New update # Comment_study is coming..
 [2]: In December of 2019, @HussainALhamad (2340 followers, 29 following) posted a retweet, mentioning @ejazah_ksa. It was sent from Riyadh, Saudi Arabia. @HussainALhamad wrote: "RT @ejazah_ksa Poll: Do you support #Suspension of studying in #Riyadh tomorrow, Monday? If you support (Retweet) If you do not support (Like)". The retweet was categorized as "Positive". 
     Location = Riyadh, Saudi Arabia
     Sentiment = Positive
     Tweet = RT @ejazah_ksa Poll: Do you support #Suspension of studying in #Riyadh tomorrow, Monday? If you support (Retweet) If you do not support (Like)
 [3]: In December of 2019, @mahfouz_nour (11 followers, 57 following) posted a tweet. She wrote: "♪ And the rest of the news about a news that the study was suspended in the study ♪ ♪ And God bless you ♪ ♪ Now ♪". The tweet was categorized as "Negative". 
     Location = None
     Sentiment = Negative
     Tweet = ♪ And the rest of the news about a news that the study was suspended in the study ♪ ♪ And God bless you ♪ ♪ Now ♪
 [4]: In December of 2019, @tansh99huda99 (1211 followers, 519 following) posted a retweet, mentioning @HashKSA. @tansh99huda99 wrote: "RT @HashKSA # comments on Monday at all schools for students in #Dahan, and the decision does not include teachers' and teachers' levels.". The retweet was categorized as "Neutral". 
     Location = None
     Sentiment = Neutral
     Tweet = RT @HashKSA # comments on Monday at all schools for students in #Dahan, and the decision does not include teachers' and teachers' levels.

Created some slides. I think they look pretty good: