Detecting state of aggression in sentences using CNN
This work addresses the problem of identifying aggressive language in online text for content moderation, but it is incremental as it applies existing methods to new data.
The researchers tackled the problem of detecting verbal aggression in sentences by comparing a convolutional neural network (CNN) with a random forest classifier, achieving results tested on a custom corpus from anonymous imageboards and a benchmark movie review dataset.
In this article we study verbal expression of aggression and its detection using machine learning and neural networks methods. We test our results using our corpora of messages from anonymous imageboards. We also compare Random forest classifier with convolutional neural network for "Movie reviews with one sentence per review" corpus.