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Authorship Attribution and Topic Discovery with Bag-of-Words Model

We propose a simple bag-of-words model to learn author interests and assign authors to anonymous texts. The model outperforms both Author-Topic Model and Supervised Author-Topic Model. We also show that the model is capable of learning meaningful representations of authors and words, by visualizing the word and author vectors using with PCA and t-SNE, and inferring author’s interest by suggesting keywords.

Alan
10 minutes ago
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