Classifying community text and community groups using machine learning

The project goal is to use existing labels and supervised learning to classify groups. The labels of these groups can also be regarded as the labels of the articles in the group, because the manual labeling is also determined according to the topic of the articles in the group. Some machine learning models, such as Lightgbm anf XGBoost, are used in this project when training and predicting labels.