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Description and Initial Analysis of Cyberbullying Dataset

Description and Initial Analysis of Cyberbullying Dataset
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Copyright: 2019
Pages: 35
Source title: Automatic Cyberbullying Detection: Emerging Research and Opportunities
Source Author(s)/Editor(s): Michal E. Ptaszynski (Kitami Institute of Technology, Japan)and Fumito Masui (Kitami Institute of Technology, Japan)
DOI: 10.4018/978-1-5225-5249-9.ch003

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Abstract

In this chapter, the authors focus on datasets used in cyberbullying detection research. They describe and compare several datasets applied in previous research and describe in detail the dataset that they decided to apply in their research. They also perform an initial analysis of the dataset to find various characteristics. They preprocess the dataset in several ways for further use and perform affect analysis to find out whether emotion-related features tend to be characteristic for cyberbullying. Based on the results of affect analysis, they also perform an initial attempt to classify cyberbullying data using a simple machine learning approach, which will be considered as a baseline in forthcoming chapters.

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