  The detection and identification of toxic comments are conducive to creating
a civilized and harmonious Internet environment. In this experiment, we
collected various data sets related to toxic comments. Because of the
characteristics of comment data, we perform data cleaning and feature
extraction operations on it from different angles to obtain different toxic
comment training sets. In terms of model construction, we used the training set
to train the models based on TFIDF and finetuned the Bert model separately.
Finally, we encapsulated the code into software to score toxic comments in
real-time.
