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)
An update on my work doing basic text analysis of a sample dataset of #WLIC2016 Tweets.
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.
I have looked at the text from 4,945 Tweets published with #WLIC2016 since 14/08/2016 until 15/08/2016 11:16:06 (EDT, Columbus Ohio time).
Where I write for the #citylis blog on #citymash, the libraries and technology unconference taking place on Saturday 13 June 2015.
We have uploaded to figshare a dataset including data from Tweets publicly published with #mla15 during the days of the conference.
Like last year, I attempted to archive the tweets tagged with the HASTAC annual conference's official hashtag (this year #HASTAC2014). I have shared the resulting dataset on figshare.
A first look at my research into the #MLA14 backchannel. How many tweets were tagged with #MLA14 since September? Read this to find out.
At the Guardian Higher Education Network, I explore the ethics of live-tweeting academic events.
I posted a selection of resources I've found useful for academic live-blogging on my HASTAC blog.