We share a repository including the tweets published by the realdonaldtrump account between 20 January 2017 and 08 January 2021.
Tag: text analysis
Great! News! People! Fake! Donald’s Tweets: 18 January 2017 to 18 January 2018
In two days it will be a year since the inauguration of Twitter user ID 25073877. I share some insights from 2,587 tweets posted between 18/01/2018 08:49 AM EST (GMT -5) and 18/01/2017 06:53 AM EST (GMT-5).
#rfringe17: Top 230 Terms in Tweetage
Repository Fringe is a gathering for repository managers and others interested in research data repositories and publication repositories. I collected an archive of #rfringe17, containing 1118 Tweet IDs. I then analysed the text of the tweets with Voyant Tools to identify most frequent terms and refined the results to 230 terms.
People, Government: Top 300 Terms in the Conservative and Labour Manifestos 2017 (Counts and Trends)
I have just deposited the following data on figshare: Top 300 Terms in the Conservative and Labour Manifestos 2017 (Counts and Trends).
Word Counts and Trends in the Letter Triggering Article 50
I'v deposited on figshare a CSV file listing counts and trends of 459 terms or word forms in full text of Prime Minister Theresa May's 'letter to Donald Tusk triggering Article 50' (29 March 2017).
Android vs iPhone: Trends in a Month’s Worth of Trumpian Tweetage
I prepared a dataset from Twitter user with user_id_str 25073877 containing a total of 123 public Tweets and corresponding metadata between 15 February 2017 06:40:32 and 15 March 2017 08:14:20 Eastern Time.
Android vs iPhone: Most Frequent Words from_user_id_str 25073877 Per Source
I have archived 3,603 public Tweets from_user_id_str 25073877. I looked at the sources of those Tweets, and the top 50 most frequent terms per main source (iPhone and Android).
Words Donald Likes So Far!
A quick word count of DJT's Tweets since inauguration day unitl 06/02/2017 07:07:55 AM Eastern Time.
Sheffield Digital Humanities Congress 2016: #dhcshef 100 Most Frequent Terms
I made a collection of Tweets tagged with #dhcshef published publicly between Monday September 05 2016 at 17:54:58 +0000 and Saturday September 10 2016 at 23:37:06 +0000 and I write a little bit about it.
Libraries! Most Frequent Terms in #WLIC2016 Tweets (part IV)
This is part IV. For necessary context, methodology, limitations, please see here (part 1), here (part 2), and here (part 3). Since this was published and shared for the first time I may have done new edits. I often come back to posts once they have been published to revise them. --- Throughout … Continue reading Libraries! Most Frequent Terms in #WLIC2016 Tweets (part IV)
What’s in a Word? Most Frequent Terms in #WLIC2016 Tweets (part III)
An update on my work doing basic text analysis of a sample dataset of #WLIC2016 Tweets.
Most Frequent Terms in #WLIC2016 Tweets (part II)
Here's an edited list of the top 50 most frequent terms extracted from a cleaned dataset comprised of 10,721 #WLIC2016 Tweets published between Monday 15/08/2016 10:11:08 EDT and Wednesday 17/08/2016 07:16:35 EDT.
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