… cyberbullying; however, because these attempts rely on the victims’ interactions, they are not
practical. Therefore, detection of cyberbullying … 37,373 unique tweets from Twitter. Moreover…

… the detection of cyberbullying instances to mitigate the consequences. We perform a detailed
analysis of a … social networking websites tremendously facilitate cyber bullying by enabling …

… studies due to the nature of the dataset used, different classification algorithms and analysis
… to significantly improve online bullying detection. The top Twitter features extracted by the …

… Data Mining. We leverage the power of sentiment analysis to detect bullying instances in
Twitter. … Nowadays, cyber bullying has become an increasing public concern considering recent …

… In [26], it is presented a novel approach to optimize Twitter cyberbullying detection based
on deep learning (OCDD).The proposed approach eliminates the features extraction and …

… related to general sentiment analysis tasks rather than cyber bullying. For the Twitter case
we also … of the proposed model in classifying a real Twitter stream of data. We collect 1.000 …

… was built to incorporate Twitter streaming API for collecting tweets and then classifying them
… essence of sentiment analysis and bullying detection. As a first phase, tweets are classified …

… From 83,752 tweets included in the analysis step, the number of positive and … Twitter which
potentially can be used to detect tweets that contains hate speech. More than 1 million tweets …

… development of cyberbullying, for example is Twitter. This … cyberbullying in Indonesia
development on twitter and what type of cyberbullying is often used by abusers to do the bullying. …

… In this study, text mining modelling was carried out using a classification algorithm… Bullying"
and "Not Bullying" classes. The "Bullying" class is a class of tweets that contain cyber bullying …