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Classify Text Topics using Supervised Machine Learning

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Text Classification

Building a classifier to categorize articles into pre-defined topics

Data

fetch20newsgroup

The 20 newsgroups dataset comprises around 18000 newsgroups posts on 20 topics split in two subsets: one for training (or development) and the other one for testing (or for performance evaluation). The split between the train and test set is based upon a messages posted before and after a specific date.

Requirement

  1. Anaconda Please refer to here to set up an environment to replicate the notebook results.

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Classify Text Topics using Supervised Machine Learning

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