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Text Classification with Logistic Regression

Learn how to build your first text classifier using Logistic Regression in Python. The challenge is to categorize news articles with the appropriate categories (from a set of 31 categories).

• Tutorial: Article on how to build a text classifier with Logistic Regression
• Notebook: Text Classification with Logistic Regression
• Dataset: HuffPost News Dataset

Running the Notebook

1. From the command line, first, clone this repo.

git clone <this repo url>

2. Next, switch to the text-classification directory of this repo.

cd  nlp-in-practice/text-classification

3. Then, run jupyter notebook

jupyter notebook

4. Now, go to notebooks directory and select the notebook you would like to run and re-run the cells.