squiba / Naive-text-classification

Simple approaches for text classification (extracting features and separating them into classes)

Text Classification

Requirements

• python3
• sklearn (machine learning models)
• joblib ( save the models on disk)

See text-classification.ipynb for a classification using Naive Bayes.

• Performance of various classifiers

Note: Hyper-parameters are not tuned for any of the models. Moreover accuracy depends on type of features selected, train-test set partition overfitting etc.

• all the features ( more than 1000K) were taken for all models, As expected KNN performed very poorly.

Bayes theorem