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Turkish Profanity Detection Enhanced by Artificial Intelligence | IEEE Conference Publication | IEEE Xplore
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Turkish Profanity Detection Enhanced by Artificial Intelligence


Abstract:

In this work, a hybrid artificial intelligence approach to classify a text as clean or profane is proposed. Focus of the proposed approach is to filter profane text shared ...Show More

Abstract:

In this work, a hybrid artificial intelligence approach to classify a text as clean or profane is proposed. Focus of the proposed approach is to filter profane text shared by people who abuse the anonymous nature of the internet. Independent of any platform, proposed approach only requires a piece of text to work. In the first step, input text gets pre-processed by an iterative cleaning algorithm. Then, processed text is sent to a heuristic or artificial intelligence based approach depending on the word count. Artificial intelligence based approach uses three unique models to process text. Each model independently calculates profanity probability. For the last step, calculations are sent to a judge model to oversee the classification. Finally, either heuristic or artificial intelligence based approach generates a binary response for classification. It is presumed that the proposed approach will be beneficial for Turkish profanity detection on internet platforms.
Date of Conference: 05-07 October 2020
Date Added to IEEE Xplore: 07 January 2021
ISBN Information:
Print on Demand(PoD) ISSN: 2165-0608
Conference Location: Gaziantep, Turkey