In the meantime, you can always use the
Home; Quotes; Biography ; Tweets; About; Support Us; Contact; 1286 Days In Office; TRUMP vs TRUMP.
Create fake tweets as you want from the options given below. For example, using our trump tweet generator you can create funny tweets similar to the official account of President Trump. Introducing Fake Trump Tweet, which lets users compose and create their own JPEG-formatted "tweets" from the Twitter-crazed billionaire himself. You can also make fake friend tweets and share it with your friends for fun. Urlesque. Like before, we need to provide a start string, although this can be any length and does not necessarily need to be a substring that exists in the training text. The first implementation was as simple as We're scanning for specific strings like links and mentions first, so that for example Discounting that, it's as simple as scanning for words or punctuation, and ignoring possible whitespace in between, until we've scanned each line.Another implementation 'detail' is performance in the browser.
Feel free to leave some feedback, and best of luck in your learning!
Updated for Twitter's latest look, with Tweetgen you can make and share believable fake Tweets.
Most of the time his tweets become more of a controversy than a political statement. takes you to a page where you can buy The merch is almost as good as Bill de Blasio's spin on Trump's now-infamous red hat - but the call between the Washington Post's You, too, can tweet like Trump by clicking this link By clicking on 'Submit' button above, you confirm that you accept I experimented with both my laptop’s CPU and the free GPU provided on Google Colab. The visual below explains the data structure that we are trying to create. Each character is therefore mapped first to an integer (index in the vocabulary) and then each integer is mapped to a vector (in my code, a vector with 64 dimensions).Why do we do this? That's actually an important property of theirs: the so called Markov property. But every set of 3 words (tokens, actually) that you see in these generated tweets have been at least once uttered by @realDonaldTrump.Now, we can generate new text from the chain like so:Internally, the Markov chain is a simple object with some methods and one large HashMap that's defined like so:You can read the type definition with generics like this: "the object See, Markov chains can also be seen as directed graphs with edges between different states.
For other types of texts, though, you might want the system to remember more than one word.In that case, we say that the Markov chain is of order You can of course go with higher orders, but the internal representation of the chain then grows exponentially, and you also start to basically copy the source texts word for word (unless you have a very very large source text).See, "tick tock..." is not the only possible source text. Off the new and we given to all who participated bring USA new book Billion Dollars throw about a proud bad. The possibility to upload your own arbitrary text would also be awesome and shouldn't be too hard. Make learning your daily ritual. Make Donald Trump Tweets – Fake Tweet Maker. How to use: Need Help? In this example, the n-gram size is 3 (the number of green characters). The target sequence is simply the input sequence with the first character chopped off and the next character added. Here we're overriding this behavior and saying that sequences with the same tokens (as defined by the tokens' string representations) should be considered same.The class uses generics so that we can later easily change from Once we have the next word, we can go to the next iteration.What this does is that it takes the current sequence of tokens, like One implementation detail that I had to solve quickly (but satisfactorily) was tokenization of tweets (splitting the string into meaningful words and punctuation). You can even generate images of users blocking you, getting suspended, and more.
Training this on a language corpus will incorporate features of the training data into the model.
My hope is that first working through the simpler example of the Markov Model will make it easier to appreciate how the RNN model works.The Trump Twitter Archive contains over 30k tweets by Donald Trump.