Consists of 2225 documents from the BBC news website corresponding to stories in five topical areas from 2004-2005.
Class Labels: 5 (business, entertainment, politics, sport, tech)
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bbc-txt.csv: csv file containing "text" and "Category" as columns. "text" column represent news article and "Category" represents news category among business, entertainment, politics, sport, tech.
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BBC Text Classification.ipynb: jupyter notebook
Divided the feature extracted dataset into two parts train and test set. Train set contains 1557 examples and Test set contains 668 examples.
Below table shows the result on test set
| Model | Accuracy |
|---|---|
| MultiClassNaiveBayes | 0.95 |
| KNN | 0.92 |