Identifying Hateful Text on Social Media with Machine Learning Classifiers and Normalization Methods - Using Support Vector Machines and Naive Bayes Algorithm
Hateful content on social media is a growing problem. In this thesis, machine learning algorithms and pre-processing methods have been combined in order to train classifiers in identifying hateful text on social media. The combinations have been compared in terms of performance, where the considered...
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| Format: | Others |
| Language: | English |
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Umeå universitet, Institutionen för datavetenskap
2018
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-155353 |