EVALUATION OF MACHINE LEARNING ALGORITHMS FOR SMS SPAM FILTERING
The purpose of this thesis is to evaluate different machine learning algorithms and methods for text representation in order to determine what is best suited to use to distinguish between spam SMS and legitimate SMS. A data set that contains 5573 real SMS has been used to train the algorithms K-Near...
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| Format: | Others |
| Language: | English |
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Umeå universitet, Institutionen för datavetenskap
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-163188 |