Abstract
Online toxicity is an unfortunate, challenging, and unwanted reality of the Internet. Take a stroll down any online comment section, Twitter thread, or multiplayer game, and you will find a piece of obscene and offensive text that will make you say "wow." In those circumstances, there is not much we can do, except for clicking the "report" button and hoping that someone or some magic entity identifies and removes the comment. This chapter addresses this issue. Here, we will build a tool capable of detecting and classifying toxic content.
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© 2020 Juan De Dios Santos Rivera
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Rivera, J.D.D.S. (2020). Identifying toxic text from a Google Chrome Extension. In: Practical TensorFlow.js. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6273-3_6
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DOI: https://doi.org/10.1007/978-1-4842-6273-3_6
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-6272-6
Online ISBN: 978-1-4842-6273-3
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