| Resumen |
With the use of social networks, the automatic detection of hate speech has become of great importance to prevent people, being protected by anonymity, from feeling free to discriminate against different groups. This document describes two approaches taken to detect hate speech by author: the first based on the individual processing of tweets by the author, which establishes a threshold of hate tweets to identify hate speech; the second based in the concatenation of tweets by author for processing. |
