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Using NLP and techniques of supervised learning (including Deep Learning) and unsupervised learning (emphasizing on unsupervised for this project), and collect thousand texts from Gutenberg project (and 7 novels) for at least 10 authors, build a project to classify text-author.
The project should follow the guideline as:
I experienced a lot of snags during the data cleaning process. I had too many documents and was getting a lot of insufficient memory errors.
I have created and saved serial_test.ipynb to display some of my decision making. This is to help answer any questions such as why I choose the number of documents that I've selected, etc.
It's named serial_test because the process ended with which serialization method that I'm using to save the documents.
Press p or to see the previous file or, n or to see the next file
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?
Are you sure you want to delete this access key?