LingHacks GirlsCodeMonth Workshop

Introductory computational linguistics workshop given at GirlsCodeMonth 2018. Topics covered:

• Basic data preprocessing in Python
• TFIDF word vectorization
• Support vector machine algorithms

This workshop walks through a basic SVM classifier that detects if text is spam or not spam. We use the Kaggle SMS Spam Collection Dataset. File descriptions:

1. bad_evaluate.py: trains and evaluates a classifier on a random train/test split of the entire dataset from Kaggle.
2. bad_runner.py: trains a classifier on a random split of the entire dataset and lets user test with their own text.
3. good_evaluate.py: trains and evaluates a classifier on a balanced spam/ham dataset with a random train/test split.
4. good_runner.py: trains a classifier on a random split of the balanced dataset and lets user test with their own text.

To run any of these files from [your-computer]/linghacks-girlscodemonth-workshop:

python3 [the-file]