Techniques for determining textual tone and providing suggestions to users

A computing system having one or more processors and a non-transitory memory having instructions stored thereon that, when executed by the one or more processors, causes the computing system to perform operations comprising:

• obtaining a vector-based language model associating elements of an unlabeled corpus that have similar meanings;
• training a machine-learning classifier using the vector-based language model and a labeled corpus of text that has been annotated as having a particular level of abusiveness;
• obtaining a text;
• determining a prediction for the text using the machine-learning classifier, the prediction being indicative of a level of abusiveness of the text;
• and
• based on the level of abusiveness of the text, selectively outputting a recommended action with respect to the text.