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Authorship Identification for Reuters C50-50 dataset. Comparision between LSTM, GRU, Bi-LSTM models and also highlights use of 50 different stylometry features for classification.

Home Page: https://vimeo.com/415780627

Jupyter Notebook 92.98% Python 7.02%
deep-learning authorship-identification lstm gru bi-lstm stylometric-features

deep-learning-based-authorship-identification's Introduction

Deep-Learning-based-Authorship-Identification

Presentation Video link - Vimeo

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deep-learning-based-authorship-identification's Issues

mega_train and test.csv (Datasets) can't be downloaded

I tried downloading the raw files of the datasets inside the data folder but it is not getting downloaded. When I tried to view the files, it said "This site can't be reached". I even tried downloading it with 'urllib' but could only fetch the HTML structure of the page. Kindly provide us with the datasets. It will be of great help. Thank you.

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