Text data
For text data, content moderation is done using NLP algorithms. These algorithms use sentiment analysis to identify the tone of a given content. They analyze written content and detect any spam or bad content.
Additionally, it also uses Entity Recognition, which leverages company demographics to predict content falsity. Based on the identified patterns, content is flagged as safe or unsafe and can be published later.