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Regular version of the site

Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Georgiy Kotov
Comparison of Word Representation Method for Obscene Language Removal
7
2016
This work is devoted to comparison of different text representation models for obscene language removal. To test these models we collect and mark up a collection of texts, published on lurkmore web site. To compare the models we estimate their precision and recall and the latter is viewed as a more important measure than the latter. The highest recall is achieved by using the annotated suffix tree model.

There are a few applications of obese language removal, such as parental controls or tools for editors of online content.

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