Ewen Gallic (AMSE) will present a tutorial on tweets. I can upload a few additional slides on LSTM (recurrent neural nets)
Two days ago, in my post to extract automatically my own tweets, and to generate some html list, I mentioned that it would be great if there were a function that could be used to distinguish tweets in English, and tweets in French (usually, I tweet in one of those two languages). And one more time, @3wen came to rescue me! In my previous post, I spent some time to extract mentions to other twitter accounts, and urls. This time, I have to remove those two informations, that are not relevant to get the language of a tweet.
A few weeks ago, I ask in a post the (simple) question “dear reader, who are you?” just to know more about the readers of my blog. I found that extremely interesting (even if – to be honest – I was expecting more answers to start a more serious sociological study of the readers of my blog). And an interesting point was that a lot of readers of my blog come to read the “somewhere else” posts, which is a review of interesting posts and articles found on the internet. Those links I share actually come from my tweets. I have on my blog a backup of my tweets, and usually, that’s where I go if I want to find some article, or some graph, or some map I have in mind, that I’ve seen somewhere (but usually I can’t remember where). But most of the time, I feel bored, because there is nothing new: it is simply a copy and paste from my tweets.
And this afternoon
@tomroud asked how those posts were written: was there an automatic procedure, or was I doing it manually? Until tonight, I was doing it manually. But because it was some kind of stupid challenge, I did try to produce a code that will generate a simple list of my tweets that I can use to produce a post.