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2min chapter
Lauren Klein on Data Feminism (Part 2): Tracing Linguistic Innovation
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How Topic Modelling Works
topics begin with a random allocation of words into topics, and then through an iterative process, those topics get refined. But you always need to begin with te random allocation. That's just how l da topic moling letches. Eis below that actually similar to this question of discourse, like below that the specific words that comprise the topic are slightly unstable underneath. In this paper, what we used randomization to do was as a caution against spurious correlations,. Like, it could have just been that there was one newspaper published in a very short frequency on a specific a topic - not topping multple like issue um.
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